摘要
在导数约束基础上,提出了一种对阵列导向矢量失配稳健的互谱降秩自适应波束形成算法.通过在期望方向上设置多个线性导数约束,对阵列接收数据进行利用互谱能量的降秩处理,然后进行自适应波束形成.该算法不仅能够在导向矢量失配情况下获得较好的性能,并且弥补了传统稳健自适应波束形成算法运算量大的缺点.仿真分析表明,所提出的算法具有较好的稳健性能.
Based on the derivative constraints, a reduced-rank cross-spectral metric (CSM) adaptive beamforming algorithm is proposed in this paper. In the proposed algorithm, the derivative constraints are firstly applied to impose a constrained band on the direction of expectation, and then the reduced-rank data is generated by using the reduced-rank adaptive signal processing based on CSM to generate the adaptive beamforming. The proposed algorithm is not only robust to the steering vector mismatch between the presumed and the actual array steering vectors, but also reduces the computational load significantly relative to the conventional robust adaptive beamforming algorithms. Simulation founds that the proposed algorithm can improve the performance significantly.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2011年第9期1095-1099,共5页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(61001198)
2011年北京理工大学研究生科技创新活动专项计划(CX0422)
关键词
阵列信号处理
自适应波束形成
导数约束
稳健性
降秩
array signal processing
adaptive beamforming
derivative constraint
robustness
reduced-rank