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
相关论文
共 27 条
[11]   Optimal coherent radar detection in a K-distributed clutter environment [J].
Dong, Y. .
IET RADAR SONAR AND NAVIGATION, 2012, 6 (05) :283-292
[12]   Spatially distributed target detection in non-Gaussian clutter [J].
Gerlach, K .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1999, 35 (03) :926-934
[13]   Performance analysis of two covariance matrix estimators in compound-Gaussian clutter [J].
Gini, F ;
Michels, JH .
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 1999, 146 (03) :133-140
[14]   Suboptimum approach to adaptive coherent radar detection in compound-Gaussian clutter [J].
Gini, F ;
Greco, MV .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1999, 35 (03) :1095-1104
[15]   X-band sea-clutter nonstationarity: Influence of long waves [J].
Greco, M ;
Bordoni, F ;
Gini, F .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2004, 29 (02) :269-283
[16]   Persymmetric Adaptive Detection and Range Estimation of a Small Target [J].
Hao, Chengpeng ;
Gazor, Saeed ;
Foglia, Goffredo ;
Liu, Bin ;
Hou, Chaohuan .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2015, 51 (04) :2590-2604
[17]  
Haykin S, The McMaster IPIX radar sea clutter database
[18]   Covariance matrix estimation and classification with limited training data [J].
Hoffbeck, JP ;
Landgrebe, DA .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1996, 18 (07) :763-767
[19]   Adaptive detection of range-spread targets without secondary data in multichannel autoregressive process [J].
Jian, Tao ;
He, You ;
Su, Feng ;
Huang, Xiaodong ;
Ping, Dianfa .
DIGITAL SIGNAL PROCESSING, 2013, 23 (05) :1686-1694
[20]   RADAR DETECTION OF TARGETS LOCATED IN A COHERENT K-DISTRIBUTED CLUTTER BACKGROUND [J].
PENTINI, FA ;
FARINA, A ;
ZIRILLI, F .
IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1992, 139 (03) :239-245