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1.
给出了一种用于对抗干扰的GPS接收盲自适应波束形成算法。该方法基于一种新的解扩器和一阶恒模算法。优点是在形成波束对准期望信号并消除干扰时,不需要直接给出这些信号的DOA(信号来向)信息。计算机仿真结果给出了对抗干扰的性能。  相似文献   

2.
当前国内外卫星导航信号空域抗干扰技术,或者需要信号到达角(DOA)信息,或者需要参考信号先验信息,或者会对导航信号和干扰同时抑制,无法形成最优的输出信干噪比(SINR),或者仅对白噪声干扰有效,无法抑制人造干扰。针对上述问题,本文提出了基于循环平稳特性的北斗抗干扰盲波束形成新算法。本文首先分析了人造干扰和北斗信号的循环平稳特性,基于此分析构造了新的盲波束形成算法的代价函数,并采用了拉格朗日方法推导了算法的解。该方法无需DOA和参考信号先验信息,可以形成阵列增益,得到最优输出SINR,可以同时抑制宽带白噪声干扰和人造调制干扰。理论分析和仿真结果证明了该方法的有效性。   相似文献   

3.
针对卫星导航抗干扰需求,研究了基于自适应波束形成的多波束抗干扰技术. 为了解决传统固定多波束抗干扰方法在波束数目受限时无法兼顾所有导航卫星信号导致接收性能下降的问题,提出了一种基于K-means聚类算法的动态指向多波束抗干扰方法. 建立天线阵列进行仿真,结果表明,该方法在接收的北斗卫星信号数目多于波束数目时,抗干扰性能优于传统方法.   相似文献   

4.
介绍了自适应天线阵列信号响应的数学描述,论述了在GPS抗干扰应用中广泛采用的基于最小均平方(LMS)的自适应算法的原理和实现过程,并对算法进行了仿真。提出了一种优于LMS算法的自适应数字波束形成(DBF)技术,推导出了其最优权系数矢量的计算方法,并对该算法进行了仿真。仿真结果表明:4阵元LMS的自适应调零算法对于单干扰的抑制和双干扰的抑制都达到了较好的效果,同时也体现了该算法零陷的优点。  相似文献   

5.
针对功率倒置(PI)抗干扰算法只能抑制干扰而不能增强导航信号问题,采用级联空域抗干扰算法.第一级通过并行基于正交子空间投影的PI算法处理消除强干扰,然后第二级利用卫星导航信号循环平稳性对期望信号进行波束形成,增强卫星导航信号,进一步提高信干噪比.最后通过仿真验证该方法的有效性.   相似文献   

6.
GPS消除电子干扰和多路径效应的新方法   总被引:4,自引:0,他引:4  
GPS信号是比较脆弱的,易受电子干扰和多路径效应的影响。就干扰和多路径效应对GPS的威胁进行了探讨,比较了传统与现代抗干扰技术的优缺点,重点介绍自适应DBF算法在GPS接收机部分的应用,依据是否使用导航辅助信号,将自适应DBF算法分为非盲和盲算法。自适应DBF算法并非万能,要根据接收机用途和具体使用环境,将该算法与时域滤波和频域滤波等技术有机结合起来,才能获得最佳抗干扰效果。  相似文献   

7.
便携式多波束测深系统既要保证测深精度的基本要求,又要尽可能减小设备体积、降低造价。FFT波束形成技术作为一种有效提高波束数目的手段,能够在DSP上实现,并且有很高的计算效率,有效解决了这一问题。本文对FFT波束形成算法进行了仿真,通过处理湖试数据,验证该算法的有效性,为解决多波束测深系统的小型化问题提供了技术支撑。  相似文献   

8.
章宁  金绍华  边刚  肖付民 《测绘学报》2022,51(9):1951-1958
针对目前多波束与侧扫声呐图像配准方法未顾及图像形变细节信息及二者尺度差异,存在局部纹理失真的问题,本文提出了结合小波变换、仿射变换和Demons配准算法的迭代自适应配准方法。利用小波变换提取侧扫声呐图像低频信息并重构图像,先后采用仿射变换和Demons算法将重构图像与多波束图像进行迭代自适应配准,获取配准变换模型,利用该模型对侧扫声呐原图像进行整体配准变换,获得多波束图像地理坐标约束的侧扫声呐图像。实例验证结果表明:该方法能有效实现多波束与侧扫声呐图像配准,获得位置准确且纹理丰富的融合声呐图像。  相似文献   

9.
提出了基于抖动量化和信噪比(SNR)的自适应鲁棒音频盲水印算法.在分析经典量化方法存在的安全问题的基础上,提出了抖动量化嵌入和提取水印的方法,抖动量由密钥控制的混沌通过映射产生,加强了系统的安全性.针对现有水印算法需通过反复实验确定合适嵌入强度的问题,算法基于音频内容的信噪比公式自适应地计算水印嵌入强度.实验表明,本算法是不可听的,对常规信号处理操作是鲁棒的.  相似文献   

10.
卫星导航接收机抗干扰技术是接收机设计的一项关键技术。在研究基于功率反演的空域自适应抗干扰算法基础上,提出了采用基于波束控制的抗干扰算法,并进行了仿真计算,结果表明:该算法明显提高了接收机抗干扰性能。  相似文献   

11.
一种改进的遥感图像自适应加权滤波算法   总被引:1,自引:0,他引:1  
遥感图像在其获取、传输的过程中,受到多种因素的影响,会含有各种噪声而降质。文中在分析传统的去噪处理算法和自适应中值滤波算法的(AMF)基础上,提出了一种自适应加权的遥感图像去噪滤波方法。该算法针对噪声图像上每一点,应用自适应加权算子,对于不同的图像区域,算子自适应地进行窗口大小和输出像素值的改变。试验证明,该方法优于传统的去噪滤波算法和AMF滤波算法,在滤除噪声的同时尽可能地保留了图像细节,对于遥感图像去噪增强具有很好的效果。  相似文献   

12.
针对民航飞机利用陆基增强系统(GBAS)进行精密进近着陆过程中,GBAS机载甚高频数据广播(VDB)接收机所受到的同频干扰问题,提出采用盲信号分离算法,对VDB接收机所接收到的期望信号与同频干扰信号进行分离,并通过识别解码数据中的机场标识(ID),得到所需期望信号,从而抑制同频干扰信号. 分析并仿真了基于快速固定点(Fast ICA)算法、自然梯度算法和等变自适应分离(EASI)算法,对VDB接收机接收到的混合信号进行分离的机理和同频干扰抑制的实现. 仿真结果表明,这三种算法均能有效分离期望信号与同频干扰信号,进而进行同频干扰抑制,并通过比较三种算法的收敛速度、串音误差和误码率,得出 Fast ICA算法更适合用于VDB信号的同频干扰抑制.   相似文献   

13.
A novel algorithm for the lossless compression of hyperspectral sounding data is presented. The algorithm rests upon an efficient technique for three-dimensional image band reordering. The technique is based on a correlation factor. The correlation-based band ordering gives 5% higher compression ratios than natural ordering does. On the other hand, the obtained compression ratios are within a percent of those produced by optimal ordering, but the computational time is much lower compared to the optimal ordering. The low computational complexity of the algorithm is based on the use of correlation for the band ordering. Moreover, the algorithm results in 7% to 12% improvement over fast nearest neighbor reordering scheme versions of JPEG-LS and the context-based adaptive lossless image codec algorithms.  相似文献   

14.
提出了一种基于非线性盲辨识的自适应数字接收机技术。由于宽带雷电信号的时频特征未知或时变,在频域对宽带数字接收机输出信号中的谐波与互调分量进行识别和分选,并以其短时能量最小化作为其非线性行为模型参数的盲辨识准则,利用最速下降算法实现模型参数的自适应提取和更新,然后在线实时地对接收机输出信号进行非线性补偿。实验结果表明,该盲辨识数字接收技术可以将整机的无杂散失真动态范围(SFDR)提高近20dB,极有利于在强干扰存在时对微弱信号的接收与检测。  相似文献   

15.
Markov chains have frequently been applied to match the probable routes with a set of GPS trip data that a pilot vehicle is emitting over a specific graph road network. This class of map- matching (MM) algorithms presently demonstrates and involve statistical and ad-hoc measures to drive the Markov chain transitional probabilities in picking the best route combinations constrained over the graph road network. In this study, we have devised an adaptive scheme to modify the Markov Chain (MC) kernel window as we move along the GPS samples to reduce the mistakes that can happen by the use of narrower MC widths. The measure for temporarily increasing the MC window width is chosen to be the ratio between the geodesic distance of current route to the actual geodesic distance between each pair of GPS samples. This adaptive use of MC has shown to have hardened the results significantly with tolerable computational cost increase. The details of the overall algorithm are depicted by the example routes extracted from various vehicle trips and the results are shown to validate the usefulness of the algorithm in practice.  相似文献   

16.
A new fair off-line electronic cash scheme on elliptic curve cryptography was presented. The new scheme is more efficient than those by extending fair off-line electronic cash scheme from finite field into elliptic curve cryptography and introducing a new elliptic curve discrete logarithm assumption. The expiry date and denomination are embedded into the blindly signed coin by integrating partially blind signature with restrictive blind signature. A bank need not use different public keys for different coin values, shops and users need not carry a list of bank‘s public keys to verify in their electronic wallet. At the same time, the bank just needs to keep undue electronic coins for double spending check in his database, thus bank‘s database can be dramatically reduced.  相似文献   

17.
Our earlier work revealed a connection between blind image deconvolution and principal components analysis (PCA). In this letter, we explicitly formulate multichannel and single-channel blind image deconvolution as a PCA problem. Although PCA is derived from blur models that do not contain additive noise, it can be justified on both theoretical and experimental grounds that the PCA-based restoration algorithm is actually robust to the presence of white noise. The algorithm is applied to the restoration of atmospheric turbulence-degraded imagery and compared to an adaptive Lucy-Richardson maximum-likelihood algorithm on both real and simulated atmospheric turbulence blurred images. It is shown that the PCA-based blind image deconvolution runs faster and is more robust to noise.  相似文献   

18.
Filtering and signal processing techniques have been widely used in the processing of satellite gravity observations to reduce measurement noise and correlation errors. The parameters and types of filters used depend on the statistical and spectral properties of the signal under investigation. Filtering is usually applied in a non-real-time environment. The present work focuses on the implementation of an adaptive filtering technique to process satellite gravity gradiometry data for gravity field modeling. Adaptive filtering algorithms are commonly used in communication systems, noise and echo cancellation, and biomedical applications. Two independent studies have been performed to introduce adaptive signal processing techniques and test the performance of the least mean-squared (LMS) adaptive algorithm for filtering satellite measurements obtained by the gravity field and steady-state ocean circulation explorer (GOCE) mission. In the first study, a Monte Carlo simulation is performed in order to gain insights about the implementation of the LMS algorithm on data with spectral behavior close to that of real GOCE data. In the second study, the LMS algorithm is implemented on real GOCE data. Experiments are also performed to determine suitable filtering parameters. Only the four accurate components of the full GOCE gravity gradient tensor of the disturbing potential are used. The characteristics of the filtered gravity gradients are examined in the time and spectral domain. The obtained filtered GOCE gravity gradients show an agreement of 63–84 mEötvös (depending on the gravity gradient component), in terms of RMS error, when compared to the gravity gradients derived from the EGM2008 geopotential model. Spectral-domain analysis of the filtered gradients shows that the adaptive filters slightly suppress frequencies in the bandwidth of approximately 10–30 mHz. The limitations of the adaptive LMS algorithm are also discussed. The tested filtering algorithm can be connected to and employed in the first computational steps of the space-wise approach, where a time-wise Wiener filter is applied at the first stage of GOCE gravity gradient filtering. The results of this work can be extended to using other adaptive filtering algorithms, such as the recursive least-squares and recursive least-squares lattice filters.  相似文献   

19.
A new fair off-line electronic cash scheme on elliptic curve cryptography was presented. The new scheme is more efficient than those by extending fair off-line electronic cash scheme from finite field into elliptic curve cryptography and introducing a new elliptic curve discrete logarithm assumption. The expiry date and denomination are embedded into the blindly signed coin by integrating partially blind signature with restrictive blind signature. A bank need not use different public keys for different coin values, shops and users need not carry a list of bank's public keys to verify in their electronic wallet. At the same time, the bank just needs to keep undue electronic coins for double spending check in his database, thus bank's database can be dramatically reduced.  相似文献   

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