發(fā)布時(shí)間：2018-11-04 12:17

【摘要】：針對(duì)內(nèi)插變換應(yīng)用于波束形成時(shí),適用角度范圍受限的問題,提出了一種利用權(quán)值約束變換誤差的改進(jìn)算法.該方法將權(quán)值和變換誤差約束為近似正交的關(guān)系,在虛擬陣列接收信號(hào)的協(xié)方差矩陣上加載變換誤差協(xié)方差矩陣,改善了變換誤差過大時(shí)波束形成性能下降的問題.仿真結(jié)果表明,改進(jìn)后的算法應(yīng)用于大角度內(nèi)插變換波束形成時(shí),在干擾處仍能形成穩(wěn)定的較深的零點(diǎn),增加了虛擬陣列波束形成的輸出信干噪比(Signal to Interference and Noise Ratio,SINR).與現(xiàn)有方法相比,該方法增加了內(nèi)插變換應(yīng)用于虛擬陣列波束形成時(shí)的適用角度范圍,且能夠補(bǔ)償陣列本身帶來(lái)的誤差,計(jì)算復(fù)雜度較低.
[Abstract]:In order to solve the problem of limited angle range when interpolation transform is applied to beamforming, an improved algorithm is proposed, which uses weights to constrain the transformation errors. The relationship between weights and transformation errors is approximately orthogonal, and the transformation error covariance matrix is loaded on the covariance matrix of the received signal of virtual array, which improves the degradation of beamforming performance when the transformation error is too large. The simulation results show that when the improved algorithm is applied to large angle interpolation beamforming, it can still form a stable deep zero point at the interference point, and increase the output signal-to-noise ratio (Signal to Interference and Noise Ratio,SINR) of virtual array beamforming. Compared with the existing methods, the proposed method increases the applicable angle range of interpolation transformation in beamforming of virtual arrays, and can compensate for the errors caused by the array itself, and the computational complexity is lower.
【作者單位】： 上海交通大學(xué)電子工程系;微米/納米加工技術(shù)國(guó)家級(jí)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61571289,61571298,61471240)
【分類號(hào)】：TN911.7
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本文編號(hào)：2309792