針對(duì)循環(huán)頻率誤差的穩(wěn)健CAB算法
Robust Cyclic Adaptive Beamforming under Cycle Frequency Error
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摘要: 當(dāng)循環(huán)頻率估計(jì)存在誤差時(shí),循環(huán)自適應(yīng)波束形成算法的性能會(huì)顯著下降。針對(duì)這一不足,本文提出了對(duì)循環(huán)頻率誤差穩(wěn)健的循環(huán)自適應(yīng)波束形成算法。仿真實(shí)驗(yàn)表明,當(dāng)存在循環(huán)頻率誤差時(shí),本文提出的算法性能接近沒(méi)有循環(huán)頻率誤差時(shí)循環(huán)自適應(yīng)波束形成算法的性能。Abstract: The performance of Cyclic Adaptive Beamforming （CAB） algorithm degrades severely when the estimation of the cycle frequency is not accurate. A robust CAB algorithm is proposed in this paper which overcomes the sensitivity to the Cycle Frequency Error （CFE）. Simulations show that the performance of the proposed method when applied to CFE cases is almost as good as that of the original CAB method for the case without CFE.
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