CAJ | 학술논문

针对相关信号的DOA估计和角度跟踪的传统算法自适应性差和特征值分解运算量大的问题,提出了一种基于实值特征子空间迭代的DOA估计算法.对每次快拍数据,通过梯度算法自适应更新信号和噪声子空间,并将复值特征子空间变换为实值,最后利用基于信号子空问的角度估计方法(Unitary ESPRIT)或噪声子空间的方法(实值域求根MUSIC)估计信号角度.由于引入了自适应特征子空间迭代和实值域处理,该算法无需特征值分解,有效地降低了基于子空间类高分辨算法的运算量,可以应用于相关信号的角度估计和跟踪问题.理论分析和仿真结果表明,算法具有较低的运算量和良好的自适应性,对某米波测高雷达实测数据的处理结果也表明了算法的有效性.
침대상관신호적DOA고계화각도근종적전통산법자괄응성차화특정치분해운산량대적문제,제출료일충기우실치특정자공간질대적DOA고계산법.대매차쾌박수거,통과제도산법자괄응경신신호화조성자공간,병장복치특정자공간변환위실치,최후이용기우신호자공문적각도고계방법(Unitary ESPRIT)혹조성자공간적방법(실치역구근MUSIC)고계신호각도.유우인입료자괄응특정자공간질대화실치역처리,해산법무수특정치분해,유효지강저료기우자공간류고분변산법적운산량,가이응용우상관신호적각도고계화근종문제.이론분석화방진결과표명,산법구유교저적운산량화량호적자괄응성,대모미파측고뢰체실측수거적처리결과야표명료산법적유효성.
A novel method for direction-of-arrivaI estimation of the correlated-signal is proposed to enhance the adaptability of the traditional high-resolution methods and to reduce the computational burden caused by eigen-decomposition and searching procedure.The noise subspace or signal subspace is iteratively obtained by the gradient algorithm for each snapshot,and then it is transformed from complex-valued space to real-valued space.Finally,Unitary ESPRIT or Root-MUSIC based on reabvalued space is used to estimate the angles.Introduction of the eigen-subspace iteration and real-valued space processing eliminates eigen-decomposition,thus reducing the computational complexity significantly.The method can also be applied to the angle estimation and angle tracking problems for coherent signals.Simulations and real data processing results verify the effectiveness of the proposed method.