Coherent integration weak target detection algorithm based on short time sliding window

Author(s):  
Yun-fei Guo ◽  
Yun-long Zhang ◽  
An-ke Xue
2015 ◽  
Vol 32 (2) ◽  
pp. 310-317 ◽  
Author(s):  
Yan Jin ◽  
Zezong Chen ◽  
Lingang Fan ◽  
Chen Zhao

AbstractA new method is proposed to detect small targets embedded in sea clutter for land-based microwave coherent radar using spectral kurtosis as a signature from radar data. It is executed according to the following procedures. First, the echoes of radar from each range gate are processed by the technique of short-time Fourier transform. Then, the kurtosis of each Doppler channel is estimated from the time–Doppler spectra. Last, the spectral kurtosis is compared to a threshold to determine whether a target exists. The proposed method is applied to measured datasets of different sea conditions from slight to moderate. The signal from a small boat is detected successfully. Furthermore, the detection performance of the proposed method is analyzed by the way of Monte Carlo simulation. It demonstrates that the spectral kurtosis–based detector works well for weak target detection when the target’s Doppler frequency is beyond the strong clutter region.


2014 ◽  
Vol 1030-1032 ◽  
pp. 1805-1809
Author(s):  
Jin Jiang ◽  
Ming Li ◽  
Yan Shen ◽  
Chong Yi Li

The features of radar echo of small floating target within sea clutter exists not only in target bins, but also exist in extend range bins. These lead to certain characteristic are similar between targets and extend bins. Short-time average power and mean-square Doppler bandwidth are extracted as two of these features and their similarities are been proved existing between target bin and extend bins by IPIX data. Although clutter bins may also have this similarity, it could be distinguished when observation time is enhanced. According to this characteristic, a detection algorithm is proposed based on time-frequency similarity analysis, the method works well when the average signal clutter ratio is about 5dB and the observation time is 300ms.


Author(s):  
Dinghe Wang Dinghe Wang ◽  
Qinglong Bao Qinglong Bao ◽  
Zhaodong Niu Zhaodong Niu ◽  
Zengping Chen Zengping Chen

2014 ◽  
Vol 35 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Li-chang Qian ◽  
Jia Xu ◽  
Wen-feng Sun ◽  
Ying-ning Peng

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