基于環(huán)境動(dòng)態(tài)感知的空時(shí)自適應(yīng)處理

方明; 劉宏偉; 戴奉周; 王小謨

doi:10.11999/JEIT141505

基于環(huán)境動(dòng)態(tài)感知的空時(shí)自適應(yīng)處理

doi: 10.11999/JEIT141505

2.
(西安電子科技大學(xué)雷達(dá)信號(hào)處理國(guó)家重點(diǎn)實(shí)驗(yàn)室西安 710071) ②(中國(guó)電子科學(xué)研究院北京 100041)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61271291, 61201285)，新世紀(jì)優(yōu)秀人才支持計(jì)劃(NCET-09-0630)，全國(guó)優(yōu)秀博士學(xué)位論文作者專項(xiàng)資金(FANEDD- 201156)和中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金

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出版歷程
- 收稿日期: 2014-11-27
- 修回日期: 2015-05-11
- 刊出日期: 2015-08-19

Space-time Adaptive Processing via Dynamic Environment Sensing

1.
(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo
2.
(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo

摘要

摘要: 在非均勻環(huán)境中，缺乏獨(dú)立同分布的訓(xùn)練樣本會(huì)使空時(shí)自適應(yīng)處理(Space-Time Adaptive Processing, STAP)算法性能嚴(yán)重下降。針對(duì)這個(gè)問(wèn)題，該文提出一種基于環(huán)境動(dòng)態(tài)感知的空時(shí)自適應(yīng)處理方法。該方法首先通過(guò)發(fā)射一組正交信號(hào)感知觀測(cè)場(chǎng)景獲取雜波信息；然后利用雜波信息結(jié)合平臺(tái)參數(shù)及系統(tǒng)參數(shù)預(yù)測(cè)未來(lái)一段時(shí)間內(nèi)雜波的協(xié)方差矩陣；最后將預(yù)測(cè)的協(xié)方差矩陣與樣本協(xié)方差矩陣進(jìn)行組合以構(gòu)造空時(shí)濾波器。仿真結(jié)果表明，與傳統(tǒng)的知識(shí)輔助類STAP算法相比，該方法在缺乏準(zhǔn)確先驗(yàn)知識(shí)的情況下依然可以有效地抑制非均勻環(huán)境中的雜波。
- 機(jī)載雷達(dá) /
- 雜波抑制 /
- 空時(shí)自適應(yīng)處理 /
- 感知 /
- 正交信號(hào)
Abstract: In heterogeneous clutter environments, Space-Time Adaptive Processing (STAP) shows notable performance degradation for lacking sufficient Independent Identically Distributed (IID) training samples. To solve this problem, a STAP approach is proposed based on dynamic environment sensing. With transmitted signal being orthogonal waveform, the clutter information is achieved. Then the clutter information and platform parameters are used and a clutter covariance matrix at future time is obtained incorporating system parameters. Finally, the space-time processor can be built based on the combination of the predicted clutter covariance matrix and the sample covariance matrix. The simulation results demonstrate that the new approach still can achieve better clutter suppression performance under circumstance of inaccurate environmental knowledge.
- Airborne radar /
- Clutter suppression /
- Space-Time Adaptive Processing (STAP) /
- Sensing /
- Orthogonal signal

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