多級(jí)嵌套維納濾波降秩的空時(shí)自適應(yīng)處理器
Space-Time Adaptive Processor Rank-Reduced by Multistage Nested Wiener Filter
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摘要: 該文將空時(shí)處理技術(shù)與降秩理論結(jié)合應(yīng)用，利用多級(jí)嵌套維納濾波降秩空時(shí)自適應(yīng)處理。這種設(shè)計(jì)的效果是陣的自由度大大增加，抗干擾能力有質(zhì)的提高，而計(jì)算量仍維持很低水平，收斂速度不受影響。仿真試驗(yàn)用于驗(yàn)證空時(shí)處理使陣列自由度提高，具有在寬帶內(nèi)處理干擾的能力，同時(shí)還表明多級(jí)嵌套維納濾波在很低的秩下就有近似滿秩的MSE性能，充分證實(shí)了低秩抗干擾自適應(yīng)處理器的設(shè)計(jì)合理性。
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關(guān)鍵詞:
- 空時(shí)自適應(yīng)處理;多級(jí)嵌套維納濾波;降秩算法
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. -
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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