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机构地区:[1]信息工程大学信息工程学院,河南郑州450002
出 处:《信息工程大学学报》2011年第5期555-559,共5页Journal of Information Engineering University
基 金:科研基金资助项目
摘 要:常规鲁棒波束形成算法只适合特定误差形式,针对阵列幅相误差、期望指向误差和干扰数据失配等多种误差同时存在的情况,提出了基于等功率加载的鲁棒自适应波束形成算法。新算法通过斜投影矩阵估计出期望信号功率,且构造一组与期望信号功率相等的非相干虚拟信号,这样改进的好处是虚拟干扰功率与期望功率相等,使得宽零陷性能稳定优越,特别适合期望信号与干扰信号功率相差较大的情况。并且通过不确定集合约束保证算法在阵列误差和期望指向误差下主瓣性能稳定优越,给出了求解Lagrange乘数的数学公式,证明了迭代权值会收敛于最优权值。通过计算机仿真结果验证了新算法多种误差环境下的有效性与优越性。Conventional robust beamforming algorithms are applicable to some conditions with special errors.To deal with complicated situations where array amplitude and phase errors,desired-orientation errors and other data mismatch coexist,this paper puts forward a novel robust adaptive beamforming algorithm based on equivalent power loading.The new algorithm estimates the power of desired signals by oblique projection property to add some interference signals and form a matrix.These interference signals have equivalent power as the desired signal.The equivalence of power leads to superior stability of wide null controlling.This processing is specially suited to situations where the desired signal power is quite different from the interference signal power.The main-lobe performance in situations where array amplitude and phase errors and desired-orientation errors coexist is stable and superior by the uncertainty set constraint.Math formula for Lagrange multiplier method is proposed.The iterative weight vector is proved to converge to optimum value.Computer simulation results demonstrate the validity and superiority of this novel algorithm.
关 键 词:自适应波束形成 鲁棒性 数据失配 斜投影 最坏情况性能优化
分 类 号:TN957[电子电信—信号与信息处理]
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