Combined Adaptive Normalized Matched Filter Detection of Moving Target in Sea Clutter

被引:8
作者
Xu, Shu-Wen [1 ]
Shui, Peng-Lang [1 ]
Yan, Xue-Ying [1 ]
Cao, Yun-He [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Sea clutter; Moving target; Normalized matched filter detector; Multiply integration; COMPOUND-GAUSSIAN CLUTTER; K-DISTRIBUTED CLUTTER; COVARIANCE-MATRIX ESTIMATION; COHERENT RADAR DETECTION; PERFORMANCE ANALYSIS; CFAR DETECTION; ARRAYS; RANGE;
D O I
10.1007/s00034-016-0413-5
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, combined adaptive normalized matched filter (ANMF) detector is proposed to detect moving target in sea clutter. For the long integration time, moving target suffers from Doppler frequency changes in individual range cells, and the sea clutter is nonstationary along the pulse dimension. Therefore, ANMF detector is ineffective in this situation. In order to solve this problem, combined ANMF detector is proposed to detect moving target in sea clutter. Firstly, the long integration duration is segmented into some short subintervals. In each subinterval, the normalized Doppler frequency of the moving target is assumed to be a constant. Secondly, a series of ANMF detectors with different normalized Doppler frequencies are used to obtain a train of coherent integration results in each subinterval, which constitute the ANMF output vector. Finally, we use the multiply integration (MI) to integrate the ANMFOVs from different subintervals. The test statistic, the max-value of MI along the normalized Doppler frequency dimension, is used for the proposed combined ANMF detector. The real sea clutter and simulated clutter data are used to evaluate the proposed detector, and the experimental results show that the proposed detector achieves better detection performance than the conventional ANMF detector.
引用
收藏
页码:2360 / 2383
页数:24
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