DTMB外輻射源雷達(dá)參考信號(hào)重構(gòu)信道估計(jì)新方法
doi: 10.11999/JEIT160796 cstr: 32379.14.JEIT160796
國(guó)家重點(diǎn)研發(fā)計(jì)劃(2016YFB0502403),國(guó)家自然科學(xué)基金(61331012, 61371197, U1333106, 61271400),湖北省支撐項(xiàng)目(2015BCE075),博士后創(chuàng)新人才支持計(jì)劃(BX201600117),湖北省自然科學(xué)基金(2016CFA061)
Novel Channel Estimation of Reference Signal Reconstruction for DTMB-based Passive Radar
The National Key Research and Development Program (2016YFB0502403), The National Natural Science Foundation of China (61336102, 61371197, 61271400), The Support Program of Hubei Province (2015BCE075), The Postdoctoral Innovation Talent Support Program (BX201600117), The Natural Science Foundation of Hubei Province (2016CFA061)
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摘要: 參考信號(hào)的穩(wěn)健重構(gòu)是數(shù)字波形外輻射源雷達(dá)的關(guān)鍵技術(shù)之一,其中信道估計(jì)的精度直接關(guān)系到重構(gòu)參考信號(hào)的純度。針對(duì)數(shù)字地面多媒體廣播(DTMB)外輻射源雷達(dá)在接收系統(tǒng)基帶采樣率是信號(hào)符號(hào)速率非整數(shù)倍時(shí)所面臨的參考信號(hào)重構(gòu)質(zhì)量問題,該文在壓縮感知的匹配追蹤算法基礎(chǔ)上,提出一種改進(jìn)的信道估計(jì)新算法。仿真分析表明,相比于廣泛采用的時(shí)域相關(guān)法和最小二乘(LS)算法,改進(jìn)后的算法有更好的頻率適應(yīng)性,魯棒性高,在多種信道環(huán)境下表現(xiàn)優(yōu)越。實(shí)測(cè)數(shù)據(jù)進(jìn)一步驗(yàn)證了采用所提出的信道估計(jì)算法可較大提升參考信號(hào)的重構(gòu)質(zhì)量,從而有利于目標(biāo)探測(cè)。
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關(guān)鍵詞:
- 外輻射源雷達(dá) /
- 地面數(shù)字多媒體廣播 /
- 參考信號(hào)重構(gòu) /
- 信道估計(jì)
Abstract: The steady reference signal reconstruction is one of the key technologies of passive radar with digital waveform, and the accuracy of channel estimation is directly related to the reference signal purity. To deal with the problem of reference signal reconstruction for Digital Terrestrial Multimedia Broadcasting (DTMB) based passive radar when the receiving system samples at a non-integer multiples of the symbol rate, an improved channel estimation is proposed on the basis of matching pursuit algorithm which is based on the compression perception. Simulation results show that compared to the widely used time domain correlation algorithm and the Least Squares (LS) algorithm, the improved algorithm has better frequency adaptability and robustness, and performs superiorly in various channel environments. Real data processing results further demonstrate that it significantly raises the quality of the reconstructed signal using the proposed algorithm and provides a better condition for the target detection. -
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