信號(hào)最優(yōu)極化濾波及性能分析
Optimal Polarization Filtering and Its Performance Analysis
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摘要: 研究了信號(hào)最優(yōu)極化濾波問題，以信號(hào)干擾噪聲比(SINR)為目標(biāo)函數(shù)建立了帶非線性約束的優(yōu)化模型，利用變量代換將其轉(zhuǎn)化為無約束的優(yōu)化問題，利用極值必要條件將優(yōu)化問題轉(zhuǎn)化為一元二次方程求根問題，導(dǎo)出了最大SINR和最優(yōu)接收極化的解析表達(dá)式。性能分析表明：信號(hào)和干擾極化狀態(tài)差異越大，濾波性能越好，完全極化干擾容易被抑制，而部分極化干擾效果好。
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關(guān)鍵詞:
- 信號(hào)處理;極化;濾波;信號(hào)干擾噪聲比;最優(yōu)化
Abstract: The optimal polarization filtering is investigated, which can be described as optimization with a nonlinear restriction. The nonlinear restriction is removed through an intermediary variable. According to the extremum necessary condition, the optimization is further transformed into problem of rooting a unitary quadratic equation. Consequently, the maximal SINR is the bigger root of the unitary quadratic equation and the optimal receiving polarization is obtained. The filtering performance is improved with the difference increasing in polarization domains between the desired signal and interference. The completely polarized interference can be suppressed easily and the partially polarized interference is difficult. to be suppressed. -
莊釗文, 肖順平, 王雪松. 雷達(dá)極化信息處理及應(yīng)用. 北京: 國防工業(yè)出版社, 1999: 291-359.[2]Stapor D P. Optimal receive antenna polarization in the presence of interference and noise. IEEE Trans. on AP, 1995, 43(5): 473一477.[3]王雪松，莊釗文，肖順平等.極化信號(hào)的優(yōu)化接收理論:完全極化情形.電子學(xué)報(bào)，1998 26(6): 42一46.[4]王雪松，莊釗文，肖順平.極化信號(hào)的優(yōu)化接收理論:部分極化情形.電子科學(xué)學(xué)刊，1998, 20(4): 468一473.[5]王雪松，徐振海，代大海等.干擾環(huán)境下部分極化信號(hào)的最佳濾波[J].電子與信息學(xué)報(bào).2004, 26(4):593-瀏覽[6]徐振海，王雪松.肖順平等.干擾環(huán)境中信號(hào)最優(yōu)極化濾波.第九屆國內(nèi)雷達(dá)學(xué)術(shù)年會(huì)，煙臺(tái)，2004: 517一519.[7]J. Yang, Y. Yamaguchi, et al. The formulae of the characteristic polarization states in the co-pol channel and the optimal polarization state for contrast enhancement. IEICE Trans. on Comm., 1997, E80-B(10): 1570 - 1575.[8]J. Yang, Y. Yamaguchi, et al. Numerical methods for solving the optimal problem of contrast enhancement. IEEE Trans. on GRS, 2000.38(2): 965 - 971. -
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