scholarly journals Robust space-time adaptive processing based on covariance matrix reconstruction and steering vector correction

2019 ◽  
Vol 2019 (21) ◽  
pp. 7932-7935
Author(s):  
Xueyao Hu ◽  
Xinyu Zhang ◽  
Yang Li ◽  
Hongyu Wang ◽  
Yanhua Wang
2013 ◽  
Vol 313-314 ◽  
pp. 1229-1234
Author(s):  
Wei Lv ◽  
Zhi Jie Wang ◽  
Jian Chen Li ◽  
Ming Zhou Wang ◽  
Qiao Hu ◽  
...  

In order to use the STAP in reverberation suppression, and compare the performances of STAP for underwater LFM with CW, the method of STAP used for LFM was proposed. Firstly, the principle of STAP for CW was analyzed, according to the underwater echo of CW. Then, the space-time steering vector of LFM is deduced by analysing the underwater echo of LFM. Fianlly, the performances of STAP for LFM and CW were compared by simulations. The results show that the proposed method of STAP for underwater LFM with narrower modulation bandwidth can achieve a better performance in target detection and estimate, and the processing gain of STAP for CW is higher than that of LFM form 1.6dB to 5.5dB with the modulation bandwidth from 100Hz to 600Hz.


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.


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