Robust Covariance Matrix Estimation for Space-Time Adaptive Processing

2006 ◽  
Author(s):  
Li Youming ◽  
Wang Rangding ◽  
Wen Huafeng
Keyword(s):  
Covariance Matrix ◽  
Space Time ◽  
Covariance Matrix Estimation ◽  
Adaptive Processing ◽  
Matrix Estimation ◽  
Space Time Adaptive Processing

Space-Time Adaptive Processing and Jamming

2018 ◽  
pp. 38-62
Keyword(s):  
Signal Processing ◽  
Computational Complexity ◽  
Covariance Matrix ◽  
Basic Concept ◽  
Processing Technique ◽  
Space Time ◽  
Adaptive Processing ◽  
Signal Processing Technique ◽  
Space Time Adaptive Processing ◽  
Established Technique

Space-time adaptive processing (STAP) has been a well-established technique, whose basic concept and theory are first put forward by Brennan and Reed. However, it is difficult to implement in the practical system because of the computational complexity and the sample limitation for estimating the clutter covariance matrix. STAP is a modern signal processing technique that can improve target detectability in the presence of a strong clutter Klemm.

scholarly journals A Space-Time Adaptive Processing Method Based on Sparse Reconstruction of Reverberation Interference

2020 ◽  
Vol 38 (6) ◽  
pp. 1179-1187
Author(s):  
Siwei Kou ◽  
Xi'an Feng ◽  
Hui Huang ◽  
Yang Bi
Keyword(s):  
Covariance Matrix ◽  
Cone Angle ◽  
Doppler Frequency ◽  
Space Time ◽  
Processing Method ◽  
Statistical Characteristics ◽  
Distribution Model ◽  
Sparse Reconstruction ◽  
Adaptive Processing ◽  
Space Time Adaptive Processing

Aiming at the problem of how to obtain reverberation samples and estimate their covariance matrix in the space-time adaptive processing(STAP) of sonar system, a new space-time adaptive processing method is proposed based on sparse reconstruction of reverberation in this paper. Firstly, according to the space-time distribution characteristics of reverberation received by moving platform sonar, a space-time steering dictionary for sparse reconstruction of reverberation is designed along the relation curve between Doppler frequency shift and incident cone angle cosine of the reverberation unit. Then, a reverberation sample in the rangecell under test (RUT) is reconstructed with high precision by sparse decomposition of signals obtained from the sonar array in the space-time steering dictionary. Finally, based on the prior information of reverberation probability distribution model, a sufficient number of reverberation samples are generated to meet the requirement of performance loss index on reverberation sample size in the space-time adaptive processing, so as to correctly obtain estimation of the covariance matrix of reverberation. This method can reconstruct the reverberation samples and estimate the reverberation covariance matrix directly from the data in RUT without relying on the auxiliary data from units adjacent to the RUT. Therefore, it is not only suitable for the environment with constant reverberation statistical characteristics, but also suitable for the environment with varying statistical characteristics. Simulation results of sonar forward-looking array and side-looking array indicate that the improvement factor of the proposed method is about 10dB lower than the traditional space-time adaptive processing method. So this new STAP method has good anti-reverberation performance.

Sign in / Sign up

Export Citation Format

Share Document