基于特征空間的線性約束最小方差波束形成器
Eigenspace-Based Linearly Constrained Minimum Variance Beamformer
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摘要: 該文把線性約束和特征空間技術(shù)相結(jié)合,提出了基于特征空間的線性約束最小方差波束形成器(ELCMVB),該波束形成器是把線性約束最小方差波束形成器(LCMVB)的預(yù)定約束方向?qū)蚴噶肯蛐盘栕涌臻g投影,再結(jié)合線性約束用LCMVB來得到權(quán)矢量。經(jīng)分析表明,ELCMVB的性能優(yōu)于GEIB的性能。與GEIB相比,ELCMVB不用計算修改的信號子空間,避免了因計算修改信號子空間而容易造成的計算不穩(wěn)定性,且其波束形成性能基本上不受零點(diǎn)約束位置的影響。最后,給出了計算機(jī)仿真結(jié)果,并證實了ELCMVB的優(yōu)越性。
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關(guān)鍵詞:
- 自適應(yīng)波束形成; 陣列信號; 特征空間; 線性約束
Abstract: By combining the Linearly Constrained Minimum Variance Beamformer(LCMVB) with the eigenspace-based beam former, this pnper presents the Eigenspace-based Linearly Constrained Minimum Variance Beamformer{ELCMVB). The ELCMVB first projects the presumed steering vector of the LCMVB onto the signal subspace, then gets the weight vector by using the LCMV and the projected steering vector. The theoretical analysis indicates that the ELCMVB outperforms the Generalized Eigenspace-based Beamlbrmer(GEIB).Compared to the GEIB, the ELCMVB removes the computation of the modified signal subspace and overcomes the numerical instability. Null constraints hardly affect the performance of the ELCMVB. Computer simulation results are also presented and demonstrate the merits of the ELCMVB. -
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