共查询到20条相似文献，搜索用时 41 毫秒
1.
Compared with the traditional GPS L1 C/A BPSK-R(1) signal, wideband global navigation satellite system (GNSS) signals suffer more severe distortion due to ionospheric dispersion. Ionospheric dispersion inevitably introduces additional errors in pseudorange and carrier phase observations that cannot be readily eliminated by traditional methods. Researchers have reported power losses, waveform ripples, correlation peak asymmetries, and carrier phase shifts caused by ionospheric dispersion. We analyze the code tracking bias induced by ionospheric dispersion and propose an efficient all-pass filter to compensate the corresponding nonlinear group delay over the signal bandwidth. The filter is constructed in a cascaded biquad form based on the estimated total electron content (TEC). The effects of TEC accuracy, filter order, and fraction parameter on the filter fitting error are explored. Taking the AltBOC(15,10) signal as an example, we compare the time domain signal waveforms, correlation peaks, code tracking biases, and carrier phase biases with and without this all-pass filter and demonstrate that the proposed delay-equalization all-pass filter is a potential solution to ionospheric dispersion compensation and mitigation of observation biases for wideband GNSS signals. 相似文献
2.
Anthony M. McCaffrey P. T. Jayachandran Richard B. Langley Jean-Marie Sleewaegen 《GPS Solutions》2018,22(1):23
The introduction of the unencrypted global positioning system (GPS) L2 civil (L2C) signal has the potential to improve measurements made with the L2 frequency, an important observable in GPS-based ionospheric research and monitoring. Recent work has shown significant differences between the legacy L2P(Y) and L2C-derived total electron content rate of change index (ROTI). This difference is observed between L2P(Y) and L2C-derived ROTI with certain receiver models and between zero-baseline receiver pairs. We discuss the likely cause for these differences: L1-aided tracking used to track both the L2P(Y) and L2C signals. We also present L2C data that are confirmed to be from tracking independent of L1. Using the ionospheric-free linear combination, we show that the independently tracked carrier phase dynamics are significantly more accurate than the L1-aided observables. This result is confirmed by comparing the behavior of the L2C and L2P(Y) carrier phase observables upon a sudden antenna rotation. 相似文献
3.
Use of the L2C signal for inversions of GPS radio occultation data in the neutral atmosphere 总被引：1，自引：0，他引：1
S. V. Sokolovskiy W. S. Schreiner Z. Zeng D. C. Hunt Y.-H. Kuo T. K. Meehan T. W. Stecheson A. J. Mannucci C. O. Ao 《GPS Solutions》2014,18(3):405-416
Results from processing FORMOSAT-3/COSMIC radio occultations (RO) with the new GPS L2C signal acquired both in phase locked loop (PLL) and open loop (OL) modes are presented. Analysis of L2P, L2C, and L1CA signals acquired in PLL mode shows that in the presence of strong ionospheric scintillation not only L2P tracking, but also L1CA tracking often fails, while L2C tracking is most stable. The use of L2C improves current RO processing in the neutral atmosphere mainly by increasing the number of processed occultations (due to significant reduction in the number of L2 tracking failures) and marginally by a reduction in noise in statistics. The latter is due to the combination of reduced L2C noise (compared to L2P) and increased L1CA noise in those occultations where L2P would have failed. This result suggests application of OL tracking for L1CA and L2C signals throughout an entire occultation to optimally acquire RO data. Two methods of concurrent processing of L1CA and L2C RO signals are considered. Based on testing of individual occultations, these methods allow: (1) reduction in uncertainty of bending angles retrieved by wave optics in the lower troposphere and (2) reduction in small-scale residual errors of the ionospheric correction in the stratosphere. 相似文献
4.
Methodology for comparing two carrier phase tracking techniques 总被引：1，自引：0，他引：1
The carrier phase tracking loop is the primary focus of the current work. In particular, two carrier phase tracking techniques
are compared, the standard phase tracking loop, i.e., the phase lock loop (PLL), and the extended Kalman filter (EKF) tracking
loop. In order to compare these two different techniques and taking into consideration the different models adopted in each,
it is important to bring them to one common ground. In order to accomplish this, the equivalent PLL for a given EKF has to
be determined in terms of steady-state response to both thermal noise and signal dynamics. A novel method for experimentally
calculating the equivalent bandwidth of the EKF is presented and used to evaluate the performance of the equivalent PLL. Results
are shown for both the L1 and L5 signals. Even though the two loops are designed to track equivalent dynamics and to have
equivalent carrier phase standard deviations, the EKF outperforms the equivalent PLL in terms of both the transient response
and sensitivity. 相似文献
5.
6.
2005年起发射的GPS Block IIR-M卫星在L2频率上新增了L2C民用信号,2010年起发射的Block IIF卫星新增了L5频率及L5I、L5Q两种民用信号。为此,GPS民用广播星历在原有时间群延迟(TGD)参数的基础上,新增了ISC_(C/A)、ISC_(L2C)、ISC_(L5I)及ISC_(L5Q)4种ISC(inter-signal correction)参数,以服务GPS实时导航定位用户。本文给出了ISC参数在GPS单/双频定位中的改正方法、利用不同机构提供的后处理差分码偏差(DCB)产品评估了ISC参数的实际精度、研究了ISC参数对GPS民用导航定位精度的影响。在明确TGD、ISC和DCB 3类参数之间区别与联系的基础上,本文研究表明:GPS广播的ISC_(C/A)参数精度可达0.2ns,TGD、ISCL2C及ISCL5Q参数精度可达0.5ns;以2014年连续11d全球12个MGEX(multi-GNSS experiment)站为例,经由ISC参数改正后,GPS L2C单频标准单点定位(SPP)的位置解精度提高了30.6%,L1C/A+L2C双频SPP的位置解精度提高了12.2%,该精度与L1P(Y)+L2P(Y)消电离层组合SPP的位置解精度相当。 相似文献
7.
Peter F. de Bakker Christian C. J. M. Tiberius Hans van der Marel Roel J. P. van Bree 《GPS Solutions》2012,16(1):53-64
Stochastic properties of GNSS range measurements can accurately be estimated using a geometry-free short and zero baseline
analysis method. This method is now applied to dual-frequency measurements from a new field campaign. Results are presented
for the new GPS L5Q and GIOVE E5aQ wideband signals, in addition to the GPS L1 C/A and GIOVE E1B signals. As expected, the
results clearly show the high precision of the new signals, but they also show, rather unexpectedly, significant, slowly changing
variations in the pseudorange code measurements that are probably a result of strong multipath interference on the data. Carrier
phase measurement noise is assessed on both frequencies, and finally successful mixed GPS-GIOVE double difference ambiguity
resolution is demonstrated. 相似文献
8.
针对北斗B1C信号在低载噪比情况下跟踪精度低的问题，提出一种基于扩展卡尔曼滤波（EKF）的北斗B1C信号数据/导频联合跟踪方法.通过构建数据/导频双通道联合跟踪模型，增加对B1C信号利用率，并在联合跟踪模型的基础上引入扩展卡尔曼滤波器，削弱传统跟踪环路中鉴别器和环路滤波器带来的跟踪误差，进一步提高跟踪环路对低载噪比信号的跟踪性能.仿真结果验证:在低载噪比情况下，相比于传统单导频通道跟踪、单导频扩展卡尔曼跟踪和联合跟踪，该方法可以有效提高跟踪精度. 相似文献
9.
The architecture of the ultra-tight GPS/INS/PL integration is the key to its successful performance; the main feature of this
architecture is the Doppler feedback to the GPS receiver tracking loops. This Doppler derived from INS, when integrated with
the carrier tracking loops, removes the Doppler due to vehicle dynamics from the GPS/PL signal thereby achieving a significant
reduction in the carrier tracking loop bandwidth. The bandwidth reduction provides several advantages such as: improvement
in anti-jamming performance, and increase in post correlated signal strength which in turn increases the dynamic range and
accuracy of measurements. Therefore, any degradation in the derived Doppler estimates will directly affect the tracking loop
bandwidth and hence its performance. The quadrature signals from the receiver correlator, I (in-phase) and Q (quadrature),
form the measurements, whereas the inertial sensor errors, position, velocity and attitude errors form the states of the complementary
Kalman filter. To specify a reliable measurement model of the filter for this type of integrated system, a good understanding
of GPS/PL signal characteristics is essential. It is shown in this paper that phase and frequency errors are the variables
that relate the measurements and the states in the Kalman filter. The main focus of this paper is to establish the fundamental
mathematical relationships that form the measurement model, and to show explicitly how the system error states are related
to the GPS/PL signals. The derived mathematical relationships encapsulated in a Kalman filter, are tested by simulation and
shown to be valid.
相似文献
| Ravindra Babu (Corresponding author)Email: |
| Jinling WangEmail: |
10.
Much of the research into multipath detection and mitigation has not considered the carrier phase delay between the line of
sight (LOS) and reflected signals. A new variable referred to as early late phase (ELP) has recently been proposed to exploit
this phase difference. It has been found that in a receiver tracking the L1 GPS signal, the probability of detecting multipath
is lower when the carrier phase difference between the LOS and a reflected signal is an integer multiple of π. Since the pseudorange
error caused by the multipath’s presence is the highest in this case, we propose to exploit the coexistence of another GPS
civilian signal, the L2C. We present an analysis of ELP for the L1 and L2C signals, and a combination of both, for detecting
multipath. The multipath detection performance has been compared using probabilities of false alarm and detection. An ideal
algorithm should have lower probability of false alarm and higher probability of detection. However, it has been found that
using dual-frequency ELP increases both probabilities. Thus, receiver operator characteristics (ROC) curves, and the area
under the ROC curves, have been used for effective comparison. It has been found that the L2C signal individually gives worse
performance than L1 because of its weaker signal strength. However, the combination of L1 and L2C gives the best overall performance,
and thus it can be claimed that ELP using dual-frequency receivers is a more effective approach for detecting multipath. 相似文献
11.
Differential carrier phase observations from GPS (Global Positioning System) integrated with high-rate sensor measurements,
such as those from an inertial navigation system (INS) or an inertial measurement unit (IMU), in a tightly coupled approach
can guarantee continuous and precise geo-location information by bridging short outages in GPS and providing a solution even
when less than four satellites are visible. However, to be efficient, the integration requires precise knowledge of the lever
arm, i.e. the position vector of the GPS antenna relative to the IMU. A previously determined lever arm by direct measurement
is not always available in real applications; therefore, an efficient automatic estimation method can be very useful. We propose
a new hybrid derivative-free extended Kalman filter for the estimation of the unknown lever arm in tightly coupled GPS/INS
integration. The new approach takes advantage of both the linear time propagation of the Kalman filter and the nonlinear measurement
propagation of the derivative-free extended Kalman filter. Compared to the unscented Kalman filter, which in recent years
is typically used as a superior alternative to the extended Kalman filter for nonlinear estimation, the virtue of the new
Kalman filter is equal estimation accuracy at a significantly reduced computational burden. The performance of the new lever
arm estimation method is assessed with simulated and real data. Simulations show that the proposed technique can estimate
the unknown lever arm correctly provided that maneuvers with attitude changes are performed during initialization. Field test
results confirm the effectiveness of the new method. 相似文献
12.
GPS Solutions - The frequency-assisted phase tracking (FAPT) is investigated extensively in comparison with the phase tracking (PT) in a Kalman filter (KF) frame to explore the role the augmented... 相似文献
13.
基于GPS新型L5信号的地表雪深反演研究 总被引：1，自引：0，他引：1
利用GPS多路径反射信号测量地表雪深具有全天候和高时空分辨率的特点，因此其可作为一种代替气象站监测雪深的新手段。然而，先前大多数研究仅使用了GPS L1和L2C波段信噪比数据探测积雪深度。为验证新型的L5信号在雪深反演方面的优越性，本文阐述了GPS-R技术反演雪深的原理，利用Lomb-Scargle周期图法所处理的受积雪表层影响的信噪比数据计算了频谱振幅强度，通过获取频谱特征值与天线高度的关系求解雪深值，最后分别与L1反演结果和实测雪深数据进行了对比。试验结果表明：与现有的GPS-R测量雪深结果相比，利用新型的L5反射信号反演地表雪深的精度更佳；采用GPS-R技术探测雪深对把握测站区域内的雪深变化情况和淡水资源储量具有重要价值。 相似文献
14.
As GPS is modernizing, there are currently fourteen satellites transmitting L2C civil code and seven satellites transmitting L5 signal. While the GPS observables are subject to several sources of errors, the ionosphere is one of the largest error sources affecting GPS signals. Small irregularities in the electrons density along the GPS radio signal propagation path cause ionospheric scintillation that is characterized by rapid fluctuations in the signal amplitude and phase. The ionospheric scintillation effects are stronger in equatorial and high-latitude geomagnetic latitude regions and occur mainly due to equatorial anomaly and solar storms. Several researchers have analyzed the L2C signal quality since becoming available in December, 2005. We analyze the performance of L2C using GPS data from stations in the equatorial region of Brazil, which is subject of weak, moderate and strong ionospheric scintillation conditions. The GPS data were collected by Septentrio PolaRxS–PRO receivers as part of the CIGALA/CALIBRA network. The analysis was performed as a function of scintillations indexes S4 and Phi60, lock time (time interval in seconds that the carrier phase is tracked continuously without cycle slips), multipath RMS and position variation of precise point positioning solutions. The analysis shows that L2C code solutions are less affected by multipath effects than that of P2 when data are collected under weak ionospheric scintillation effects. In terms of analysis of positions, the kinematic PPP results using L2C instead P2 codes show accuracy improvements up to 33 % in periods of weak or strong ionospheric scintillation. When combining phase and code collected under weak scintillation effects, the results by applying L2C against P2 provide improvement in accuracy up to 59 %. However, for data under strong scintillation effects, the use of L2C for PPP with code and phase does not provide improvements in the positioning accuracy. 相似文献
15.
全球定位系统/航位推算组合导航定位中,由于目标运动的不确定性,GPS接收机与DR器件接收的数据存在噪声,使预置目标运动模型通常很难得到较高跟踪精度,针对应用常规卡尔曼滤波进行组合导航解算由于噪声统计特性未知而引起滤波不稳定的问题,本文提出了一种基于新息序列的量测计算进行自适应估计的卡尔曼滤波算法。该算法通过对新息方差强度进行极大似然估计,将新息计算引入卡尔曼滤波器的增益计算,达到控制发散的目的。最后对改进的算法与一般卡尔曼滤波算法做了对比仿真试验分析,结果表明了改进算法的有效性。 相似文献
16.
基于GPS双频原始观测值的精密单点定位算法及应用 总被引：9，自引：2，他引：7
本文提出一种基于GPS双频原始观测值的PPP算法,与基于消电离层组合观测值的传统PPP算法不同,新算法通过参数化站星视线方向的电离层延迟以消除其对PPP估值的不利影响;该新算法可以有效避免观测值组合过程所引起的观测数据噪声以及多路径效应被放大的不利影响;同时在利用扩展卡尔曼滤波模型进行未知参数的递归估计过程中,通过对大气延迟参数引入符合实际的约束,可以加快滤波收敛,提高参数估值的可靠性;视线方向电离层延迟可与其他未知参数同时估计得到,进而便于利用PPP技术进行精密电离层研究;此外,对于可能的模型误差（如码观测值粗差、相位观测值周跳等）,基于DIA的质量控制策略以消除或削弱其对参数估值的不利影响。利用实测数据对新算法在静态、低动态以及高动态定位应用方面的精度进行检验,结果表明,静、动态定位结果的外符合精度可分别达到1~2 cm和7~8 cm,验证了新算法的可行性和有效性。 相似文献
17.
We present a multi-constellation multi-band GNSS software receiver front end based on USRP2, a general purpose radio platform. When integrated with appropriate daughter boards, the USRP2 can be used to collect raw intermediate frequency (IF) data covering the entire GNSS family of signals. In this study, C++ class-based software receiver processing functions were developed to process the IF data for GPS L1, L2C, and L5 and GLONASS L1 and L2 signals collected by the USRP2 front end. The front end performance is evaluated against the outputs of a high end custom front end driven by the same local oscillator and two commercial receivers, all using the same real signal sources. The results show that for GPS signals, the USRP2 front end typically generates carrier-to-noise ratio (C/N 0) at 1–3 and 1–2 dB below that of the high end front end and a NovAtel receiver, respectively. For GLONASS signals, the USRP2 C/N 0 outputs are comparable to those of a Septentrio receiver. The carrier phase noise from the USRP2 outputs is similar to those of the benchmarking devices. These results demonstrate that the USRP2 is a suitable front end for applications, such as ionosphere scintillation studies. 相似文献
18.
Ben K. H. Soon Steve Scheding Hyung-Kuen Lee Hung-Kyu Lee Hugh Durrant-Whyte 《GPS Solutions》2008,12(4):261-271
This paper presents a simple and effective approach that incorporates single-frequency, L1 time-differenced GPS carrier phase
(TDCP) measurements without the need of ambiguity resolution techniques and the complexity to accommodate the delayed-state
terms. Static trial results are included to illustrate the stochastic characteristics and effectiveness of the TDCP measurements
in controlling position error growth. The formulation of the TDCP observation model is also described in a 17-state tightly-coupled
GPS/INS iterative, extended Kalman filter (IEKF) approach. Preliminary land vehicle trial results are also presented to illustrate
the effectiveness of the TDCP which provides sub-meter positional accuracies when operating for more than 10 min. 相似文献
19.
GPS/INS组合导航系统抗差滤波器设计 总被引：5，自引：0，他引：5
常规Ｋａｌｍａｎ滤波器已经广泛用于ＧＰＳ／ＩＮＳ组合导航系统,其中假设系统动态模型和噪声统计特性是精确已知的。事实上,这种假设是不符合实际情况的。在组合导航系统中,惯性测量器件的质量不稳定,ＧＰＳ测量误差受外界环境的影响,因而对组合导航系统进行抗差设计是十分必要的。本文利用对策论设计了能使不确定噪声下性能最好的极小极大抗差滤波器,并将其应用到ＧＰＳ／ＩＮＳ组合导航系统中。考虑一个ＩＯ状态的ＧＰＳ／ 相似文献
20.
Adaptive Kalman Filtering for INS/GPS 总被引：69，自引：0，他引：69
After reviewing the two main approaches of adaptive Kalman filtering, namely, innovation-based adaptive estimation (IAE)
and multiple-model-based adaptive estimation (MMAE), the detailed development of an innovation-based adaptive Kalman filter
for an integrated inertial navigation system/global positioning system (INS/GPS) is given. The developed adaptive Kalman filter
is based on the maximum likelihood criterion for the proper choice of the filter weight and hence the filter gain factors.
Results from two kinematic field tests in which the INS/GPS was compared to highly precise reference data are presented. Results
show that the adaptive Kalman filter outperforms the conventional Kalman filter by tuning either the system noise variance–covariance
(V–C) matrix `Q' or the update measurement noise V–C matrix `R' or both of them.
Received: 14 September 1998 / Accepted: 21 December 1998 相似文献