降維空時(shí)自適應(yīng)處理研究
A Study of Reduced-Rank STAP
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摘要: 該文首先分析了降維空時(shí)自適應(yīng)處理(STAP)的一般原理,接著從理論上證明了在處理器維數(shù)和輔助樣本數(shù)相同的條件下降維STAP的互譜方法(CSM)提供了特征空間內(nèi)所有降維處理方法的性能上界。文中還通過仿真將兩種固定結(jié)構(gòu)的降維方法與CSM做了性能比較,結(jié)果表明時(shí)域預(yù)濾波級聯(lián)局域空時(shí)聯(lián)合處理法(3DT-SAP)非常接近性能上界,是一種非常有效的降維方法。Abstract: This paper starts with the discussion of the principle of reduced-rank(RR) Space-Time Adaptive Processing(STAP). It is followed by a dedication of the performance upper bound of all eigen-based RR methods provided by Cross Spectral Method(CSM) under the condition of a given processor rank and identical secondary sample size. A performance com-parison between two RR STAP processors with prefixed structure and CSM is performed by the means of simulations. It is shown that the performance of time pre-filtering followed by jointly localized STAP structure (i.e. 3DT-SAP) is very close to the upper bound and thereby it is an effective RR approach.
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保錚,張玉洪,廖桂生,王永良,吳仁彪,機(jī)載雷達(dá)空時(shí)二維信號處理,現(xiàn)代雷達(dá),1994,16(1),38-48,16(2),17-27.[2]L.E. Brennan, D. J. Piwinski, F. M. Staudaher, Comparison of space-time adaptive processing approaches using experimental airborne radar data, In Proc. of 1993 IEEE National Radar Conference, Boston, Apr, 1993, 176-181.[3]I.S. Reed, J. D. Mallett, L. E. Brennan, Rapid convergence rate in adaptive arrays, IEEE Trans. on AES, 1974, 10(6), 853-863.[4]F.C. Robey, D. R. Fuhrmann, E. J. Kelly, R. Nitzberg, A CFAR adaptive matched filter detector, IEEE Trans. on AES, 1992, AES-28(1), 208-216.[5]E.J. Kelly, An adaptive detection algorithm, IEEE Trans. on AES, 1986, AES-22(1), 115-127.[6]J.S. Goldstein, I. S. Reed, Theory of partially adaptive radar, IEEE Trans. on AES, 1997,AES-34(4), 1309-1325.[7]J.S. Goldstein, I. S. Reed, Reduced rank adaptive filtering, IEEE Trans. on Signal Processing, 1997, SP-45(2), 492-496.[8]J.S. Goldstein, I. S. Reed, Subspace selection for partially adaptive sensor array processing, IEEE Trans. on AES, 1997, AES-33(2), 539-544. -
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