多级嵌套维纳滤波降秩的空时自适应处理器
Space-Time Adaptive Processor Rank-Reduced by Multistage Nested Wiener Filter
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摘要: 该文将空时处理技术与降秩理论结合应用，利用多级嵌套维纳滤波降秩空时自适应处理。这种设计的效果是阵的自由度大大增加，抗干扰能力有质的提高，而计算量仍维持很低水平，收敛速度不受影响。仿真试验用于验证空时处理使阵列自由度提高，具有在宽带内处理干扰的能力，同时还表明多级嵌套维纳滤波在很低的秩下就有近似满秩的MSE性能，充分证实了低秩抗干扰自适应处理器的设计合理性。Abstract: An anti-jamming space-time adaptive processor rank-reduced by Multistage Nested Winner Filter(MSNWF) is presented in this paper. Such processor can overcome the need of freedom degrees in traditional array processing while maintains the computa-tional complexity requirements at a low level. Simulations proved such a processor can provide more freedom degrees under janimering senario and the ability to identify interfer-ences in a multidimensional spectrum at the AOA-frequency coordinates. Simulations also proved a low rank (D=10) is enough for the MSNWF space-time processor to approximate its full rank performance.
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Honing M L, Weimin Xiao. Performance of reduced-rank linear interference suppression. IEEE Trans. on Information Theory, 2001, IT-47(5): 1928-1946.[2]Morgan D R. Partially adaptive array techniques. IEEE Trans. on AP., 1978, AP-26(11): 822-833.[3]Goldstein J S, Reed I S. Reduced rank adaptive filtering. IEEE Trans. on Signal Processing,1997, SP-45(2): 492-496.[4]Goldstein J S, Reed I S, Scharf L L. A multistage representation of the Wiener filter based on orthogonal projections. IEEE Trans. on Information Theory, 1998, IT-44(6): 2943-2959.[5]Myrick W L, Zoltowski M D, Goldstein J S. Anti-jam space-time preprocessor for GPS based on multistage nested Wiener filter. IEEE Military Communication (Milcom99), Atlantic City, NJ,3-6 Oct. 1999: 193-201. -
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