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基于MUSIC算法的二次雷達(dá)應(yīng)答信號分離方法

張海 陳小龍 張濤 張財(cái)生

張海, 陳小龍, 張濤, 張財(cái)生. 基于MUSIC算法的二次雷達(dá)應(yīng)答信號分離方法[J]. 電子與信息學(xué)報(bào), 2020, 42(12): 2984-2991. doi: 10.11999/JEIT190842
引用本文: 張海, 陳小龍, 張濤, 張財(cái)生. 基于MUSIC算法的二次雷達(dá)應(yīng)答信號分離方法[J]. 電子與信息學(xué)報(bào), 2020, 42(12): 2984-2991. doi: 10.11999/JEIT190842
Hai ZHANG, Xiaolong CHEN, Tao ZHANG, Caisheng ZHANG. Overlapping Secondary Surveillance Radar Replies Separation Algorithm Based on MUSIC[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2984-2991. doi: 10.11999/JEIT190842
Citation: Hai ZHANG, Xiaolong CHEN, Tao ZHANG, Caisheng ZHANG. Overlapping Secondary Surveillance Radar Replies Separation Algorithm Based on MUSIC[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2984-2991. doi: 10.11999/JEIT190842

基于MUSIC算法的二次雷達(dá)應(yīng)答信號分離方法

doi: 10.11999/JEIT190842
基金項(xiàng)目: 國家自然科學(xué)基金(U1933135, 61871391, 61931021);山東省重點(diǎn)研發(fā)計(jì)劃(2019GSF111004)
詳細(xì)信息
    作者簡介:

    張海:男,1976年生,副教授,研究方向?yàn)槔走_(dá)信號處理、雷達(dá)目標(biāo)特性等

    陳小龍:男,1985年生,副教授,研究方向?yàn)槔走_(dá)動(dòng)目標(biāo)檢測、海雜波抑制、雷達(dá)信號精細(xì)化處理等

    張濤:男,1986年生,工程師,研究方向?yàn)锳DS-B系統(tǒng)設(shè)計(jì)及信號處理等

    張財(cái)生:男,1983年生,講師,研究方向?yàn)槔走_(dá)信號處理、ADS-B信號處理等

    通訊作者:

    張濤 radarads@sina.com

  • 中圖分類號: TN958.96; V19

Overlapping Secondary Surveillance Radar Replies Separation Algorithm Based on MUSIC

Funds: The National Nature Science Foundation of China (U1933135, 61871391, 61931021), The Key Research and Development Program of Shandong Province (2019GSF111004)
  • 摘要: 為了提高在高密度信號環(huán)境下對二次監(jiān)視雷達(dá)(SSR)應(yīng)答信號的接收性能,該文提出一種將信源數(shù)估計(jì)和信號到達(dá)方向(DOA)估計(jì)相結(jié)合構(gòu)建分離矩陣實(shí)現(xiàn)交疊信號分離的算法。首先根據(jù)交疊信號量測的特征值分布來確定交疊信號的個(gè)數(shù);然后利用MUSIC算法作譜峰搜索得到各信號的DOA,并重構(gòu)混合矩陣;最后通過計(jì)算混合矩陣的廣義逆得到分離矩陣,并實(shí)現(xiàn)對交疊信號的分離。以6陣元均勻線陣為前提進(jìn)行仿真分析,結(jié)果表明所提分離算法可達(dá)到90%以上的分離成功率,分離性能和獨(dú)立成分分析(ICA)算法相當(dāng),優(yōu)于基于投影技術(shù)分離算法(PA),但計(jì)算量遠(yuǎn)小于ICA算法,不足ICA算法計(jì)算量1/10,更易于工程化應(yīng)用。
  • 圖  1  SSR應(yīng)答信號四重交疊

    圖  2  特征值分布及信號的空間譜

    圖  3  不同測向誤差下的失敗率和誤碼率

    圖  4  不同測向誤差下的失敗率和誤碼率(完全交疊)

    圖  5  不同交疊程度下的不同算法的分離失敗率

    圖  6  不同交疊程度下的不同算法的誤碼率

    表  1  交疊信號個(gè)數(shù)檢測正確概率(%)

    DOA4 dB8 dB12 dB16 dB20 dB
    93.6395.8497.5198.6199.17
    15°93.0795.8496.9597.7898.89
    30°92.8095.2996.4097.2398.61
    45°90.8693.9195.8496.4098.34
    60°85.8791.9795.2995.2998.06
    75°72.5878.9587.8193.9197.51
    90°71.7577.8482.5586.7090.03
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2019-11-01
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