西安电子科技大学学报(自然科学版)
西安電子科技大學學報(自然科學版)
서안전자과기대학학보(자연과학판)
JOURNAL OF XIDIAN UNIVERSITY(NATURAL SCIENCE)
2015年
3期
122-128
,共7页
杨群%曹祥玉%高军%李思佳
楊群%曹祥玉%高軍%李思佳
양군%조상옥%고군%리사가
共形阵%波达方向估计%信源数估计%虚拟期望信号
共形陣%波達方嚮估計%信源數估計%虛擬期望信號
공형진%파체방향고계%신원수고계%허의기망신호
conformal array%direction of arrival%estimation of source number%virtual pseudo expected signal
针对目前绝大多数共形阵波达方向估计算法需要进行信源数估计且波达方向估计性能易受信源数估计误差影响的问题,提出了一种引入虚拟期望信号的未知信源数共形阵波达方向估计算法。在介绍共形阵窄带信号接收模型及自适应波束控制原理的基础上,利用最大信干噪比准则下的最优权矢量对引入虚拟期望信号后的阵列接收数据进行加权处理,以阵列输出的信噪比作为波达方向估计参数,从而实现来波信号的准确估计。整个过程不需要以信源数作为先验知识,避免了波达方向估计过程中信源数的判断环节。对所提算法进行了仿真实验,结果表明,该算法是有效可行的,且其性能要优于 MUSIC算法。
針對目前絕大多數共形陣波達方嚮估計算法需要進行信源數估計且波達方嚮估計性能易受信源數估計誤差影響的問題,提齣瞭一種引入虛擬期望信號的未知信源數共形陣波達方嚮估計算法。在介紹共形陣窄帶信號接收模型及自適應波束控製原理的基礎上,利用最大信榦譟比準則下的最優權矢量對引入虛擬期望信號後的陣列接收數據進行加權處理,以陣列輸齣的信譟比作為波達方嚮估計參數,從而實現來波信號的準確估計。整箇過程不需要以信源數作為先驗知識,避免瞭波達方嚮估計過程中信源數的判斷環節。對所提算法進行瞭倣真實驗,結果錶明,該算法是有效可行的,且其性能要優于 MUSIC算法。
침대목전절대다수공형진파체방향고계산법수요진행신원수고계차파체방향고계성능역수신원수고계오차영향적문제,제출료일충인입허의기망신호적미지신원수공형진파체방향고계산법。재개소공형진착대신호접수모형급자괄응파속공제원리적기출상,이용최대신간조비준칙하적최우권시량대인입허의기망신호후적진렬접수수거진행가권처리,이진렬수출적신조비작위파체방향고계삼수,종이실현래파신호적준학고계。정개과정불수요이신원수작위선험지식,피면료파체방향고계과정중신원수적판단배절。대소제산법진행료방진실험,결과표명,해산법시유효가행적,차기성능요우우 MUSIC산법。
An algorithm for conformal array DOA estimation with an unknown number of sources is developed to solve the problem that most of the DOA algorithms are based on the prior knowledge of the number of sources and the estimation error of the number of sources leads to the degradation of DOA algorithm performance.This method is realized by introducing the pseudo expected signal.Firstly,the received narrow band signal of the conformal array is modeled and the adaptive beamforming theory is introduced.The optimum weight deduced by the Maximum signal to inference and noise ratio (SINR) is applied to the received signal and the pseudo expected signal and the conformal array output signal to noise ratio (SNR) is regarded as the parameter of the DOA to accomplish the estimation.During the processing, the proposed method does not need the prior knowledge of the number of sources and the signal number estimation is avoided.Finally the validity of the algorithm is verified by simulation experiments.The simulation results show that the algorithm is effective and superior to the MUSIC (multiple signal classification) algorithm.