摘要
低信噪比(signal-to-noise ratio,SNR)或小接收快拍数条件下,经典的二维(two-dimensional,2D)波达方向(direction of arrival,DOA)算法存在估计精度低的缺点。针对该问题,充分利用L型阵列接收数据的自、互相关信息,提出一种适用于低SNR及小接收快拍数环境下的2D DOA估计新方法。该方法首先通过解析优化2D谱峰搜索问题,获得方位角与仰角之间的特定约束关系,进而将包含2D角度参量的目标函数转化为只包含一维(one-dimensional,1D)角度参量,即可通过1D谱峰搜索获得方位角(或仰角)估计值,最后再次利用该约束关系求得与之对应的仰角(或方位角)估计值。该方法只需1D谱峰搜索,而且所得2D角度估计参数可自动实现配对。计算机仿真验证了该方法在低SNR及小接收快拍数情况下的有效性。
Under low SNR region or with the small number of the snapshots,the classic two-dimensional（ 2D） direction-ofarrival（ DOA） algorithms have the drawback of low estimation accuracy. To resolve the problem,the paper presents a new method of 2D DOA estimation suitable for low signal-to-noise（ SNR） region and small number of the snapshots by fully taking advantage of the autocorrelation and cross-correlation information of the received snapshots of L-shape sensor arrays.Analytically optimizing the problem of 2D spectrum peak search,we obtain the specific constraint relationship between the azimuth and elevation. On the basis of it,the method firstly converts the objective function with 2D angle parameter into the one with one-dimensional（ 1D） angle parameter. Then the azimuth（ or elevation） is obtained by 1D searching. Finally,the elevation（ or azimuth） can be estimated according to the specific constraint relationship between the azimuth and elevation. The method only needs 1D spectrum peak searching,and the estimated azimuth and elevation can be automatically matched. The computer simulations verify the effectiveness of the proposed method under low SNR region and with the small number of the snapshots.
出处
《重庆邮电大学学报（自然科学版）》
CSCD
北大核心
2016年第1期24-29,共6页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家科技重大专项(2014ZX03001009-003)~~
