Track-Before-Detect Strategies for STAP Radars

被引:117
作者
Orlando, Danilo [1 ]
Venturino, Luca [1 ]
Lops, Marco [1 ]
Ricci, Giuseppe [2 ]
机构
[1] Univ Cassino, DAEIMI, I-03043 Cassino, Fr, Italy
[2] Univ Salento, Dipartimento Ingn Innovaz, I-73100 Lecce, Le, Italy
关键词
Constant false alarm rate (CFAR); generalized likelihood ratio test (GLRT); space-time adaptive radar detection; track-before-detect (TBD); Viterbi algorithm; SIGNAL;
D O I
10.1109/TSP.2009.2032991
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 correspondence we propose track-before-detect (TBD) strategies for space-time adaptive processing (STAP) radars. As a preliminary step we introduce the target and noise models in discrete-time form. Then, resorting to generalized likelihood ratio test (GLRT)-based and ad hoc procedures we derive detectors for two different scenarios (a point better clarified in the body of the correspondence). The preliminary performance assessment, conducted resorting to Monte Carlo simulation, shows that the proposed procedures might be viable means to implement early detection and track initiation of weak moving targets.
引用
收藏
页码:933 / 938
页数:6
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