稀疏阵列的波束形成与控制方法

首先从信号与信息处理的角度阐述了波束形成所要解决的技术问题和波束形成的理论优势和方法局限，并对传统的基于空域波形采样的波束形成技术进行了再思考。其次，分析了稀疏阵列的布阵特点对波束形成技术的挑战，给出了空域、时域、频域分布式相参信号处理等关键技术及其理论性能的分析与比较结果，并利用实例分析了空、时、频协同采样克服低维欠采样模糊的可行性。最后分析了在实际应用中遇到的一些非理想因素对稀疏阵列波束形成与控制的影响及其解决方法。

Beamforming and control method for sparse array

this paper addressed some issues about beamforming from the perspective of the signal and information processing, to reconsider the traditional beamforming techniques based on spatial sampling, such as technical problems to be solved in beamforming, in addtion to the theoretical advantages and methodological limitations of beamforming. Secondly, it analyzed the challenge of the characteristics of sparse array to beamforming techniques, and pointed out the critical technologies of distributed coherent signal processing in spatial, time and frequency domain, as well as their theoretical performance analysis and comparison results. Then it used the actual examples to analyze the feasibility of using space-time-frequency cooperative sampling to overcome low dimensional undersampling ambiguity. Finally, it proposed the influence of some nonideal factors encountered in practical applications on beamforming, and analyzed the control of sparse array and its solutions.