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大部分通信信号具有循环平稳特性,利用循环平稳特性进行波束形成的优点在于只需获取期望信号循环频率即可有效抑制干扰和各类噪声。文中重点研究了典型的循环平稳自适应波束形成算法,包括LS-SCORE、Cross-SCORE、Phase-SCORE、CAB和C-CAB算法,并推导了各算法的内在联系。通过不同干扰环境下算法的性能仿真,得到了Cross-SCORE和Phase-SCORE算法适用于强干扰环境,CAB和C-CAB算法适用于中等或弱干扰环境,LS-SCORE算法不稳健但适用于大部分干扰环境的结论,为复杂干扰环境下合理选择循环平稳自适应波束形成算法提供了依据。
Most of the communication signals have a cyclostationary property. The advantage of using the cyclostationary characteristics for beamforming is that interference and various types of noise can be effectively suppressed only by obtaining the desired signal circulating frequency. In this paper, we focus on the typical cyclic stationary adaptive beamforming algorithms, including LS-SCORE, Cross-SCORE, Phase-SCORE, CAB and C-CAB algorithms and derive the inherent relationship between the algorithms. Cross-SCORE and Phase-SCORE algorithms are applied to strong interference environment through the performance simulation of algorithms in different interference environments. CAB and C-CAB algorithms are suitable for medium or weak interference environments. The LS-SCORE algorithm is not robust but suitable for large The conclusion of partial interference with the environment provides the basis for the reasonable selection of cyclic smooth adaptive beamforming algorithm in complex interference environment.