相控阵AEW雷达动目标检测的最大似然方法
A New Maximum Likelihood Method to Moving Target Detection for Phased Airborne Early Warning Radar
-
摘要: 非均匀环境对空时自适应处理(STAP)是一个挑战.对此,该文提出了一种基于最大似然估计的相控阵AEW雷达动目标检测方法.该方法具有计算量低、主杂波区性能好和孤立干扰抑制能力强等优点.其有效性得到计算机仿真数据和某实测数据的处理结果所证实.Abstract: It is a challenge for Space Time Adaptive Processing （STAP） in non-homogeneous environment. Thus, a new maximum likelihood method to moving target detection for phased Airborne Early Warning （AEW） radar is presented in this paper. This new method has advantages of low computational expense, excellent target detection performance in the main clutter field, and strong ability to mitigate isolate interference. Its effectiveness is also verified by the computational results of simulation and the some real data.
-
Brennan L E, Maller J D. Theory of adaptive radar[J]. IEEE Trans. on AES., 1973, 9(2): 237 - 251.[2]Adve R S, Hale T B, Wicks M C. A two stage hybrid space- time adaptive processing algorithm[A]. Proc. of the 1999 IEEE National Radar Conf. [C], Boston, MA, April 1999:279 - 284.[3]Adve R S, Hale T B, Wicks M C. Practical joint domain localized adaptive processing in homogeneous and nonhomo geneous environments, part 2: nonhomogeneous environments[J].IEE Proc. -Radar, Sonar Navigation.2000, 147(2):66-[4]Sarkar T K, Wang H, Park S, et al.. A deterministic least- squares approach to space-time adaptive processing (STAP)[J].IEEE Trans. onAP.2001, 49(1):91-[5]张贤达.现代信号处理[M].北京:清华大学出版社,1995:68-372.[6]Parker P, Swindlehurst A. Space-Time autoregressive filtering for matched subspace STAP[J]. IEEE Trans. on AES., 2003, 39(2):510-519.[7]Li Jian, Stoica P. An adaptive filtering approach to spectral estimation and SAR imaging[J].IEEE Trans. on SP.1996, 44(6):1469-[8]Pesavento M, Gershman A B. Maximum-likelihood directionof-arrival estimation in the presence of unknown nonuniform noise [J].IEEE Trans. on SP.2001, 49(7):1310- -
计量
- 文章访问数: 2072
- HTML全文浏览量: 112
- PDF下载量: 697
- 被引次数: 0
下载:
