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迭代優(yōu)化最小化唯相位波束形成

發(fā)布時(shí)間:2018-08-18 13:04
【摘要】:為了增強(qiáng)唯相位波束形成(Phase-Only Beamforming,POB)的干擾和噪聲抑制性能,提高非凸POB權(quán)值求解的實(shí)時(shí)性,該文設(shè)計(jì)了迭代優(yōu)化最小化(Iterative Majorization Minimization,IMM)唯相位最小方差無(wú)失真響應(yīng)波束形成器(Minimum Variance Distortion-less Response Beamformer,MVDRB)。將無(wú)失真響應(yīng)約束轉(zhuǎn)化成最大化期望方向陣列響應(yīng),推導(dǎo)了二次型目標(biāo)函數(shù)的上界,得到IMM-POB優(yōu)化模型,并進(jìn)一步推導(dǎo)出每次迭代的閉式最優(yōu)解。仿真分析表明所設(shè)計(jì)的IMM-POB:在相同輸入信噪比下,可獲得高于現(xiàn)有迭代算法和最優(yōu)MVDRB的信干噪比改善;干擾抑制性能幾乎完全逼近最優(yōu)MVDRB,且具有更優(yōu)的噪聲抑制性;受快拍數(shù)影響較小;閉式最優(yōu)權(quán)僅包含單次矩陣和向量乘法,使算法具有較強(qiáng)的實(shí)時(shí)性,可應(yīng)用于大規(guī)模陣列。
[Abstract]:In order to enhance the interference and noise suppression performance of Phase-Only Beamforming (POB) and improve the real-time performance of non-convex POB weights, an Iterative Majorization Minimization (IMM) phase-only minimum variance distortionless response beamformer (Minimum Variance Distortion-less Respo) is designed. NSE Beamformer (MVDRB). The distortion-free response constraint is transformed into the maximum expected directional array response. The upper bound of the quadratic objective function is derived, and the IMM-POB optimization model is obtained. The closed-form optimal solution for each iteration is further derived. The simulation results show that the IMM-POB designed can obtain higher than the existing overlap under the same input signal-to-noise ratio. The SINR of the surrogate algorithm and the optimal MVDRB is improved; the performance of interference suppression is almost completely close to the optimal MVDRB and has better noise suppression; it is less affected by the snapshot number; and the closed-form optimal weight contains only single matrix and vector multiplication, which makes the algorithm more real-time and can be applied to large-scale arrays.
【作者單位】: 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;西安電子科技大學(xué)信息感知技術(shù)協(xié)同創(chuàng)新中心;
【基金】:國(guó)家自然科學(xué)基金(51405364,51305323)~~
【分類號(hào)】:TN911.7


本文編號(hào):2189550

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