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时空欠采样宽频段信号频率和二维角估计方法
引用本文:斯德谊,刘荣科,程岱松,沈士团,周荫清.时空欠采样宽频段信号频率和二维角估计方法[J].电子学报,2000,28(3):9-12.
作者姓名:斯德谊  刘荣科  程岱松  沈士团  周荫清
作者单位:北京航空航天大学204教研室,北京 100083
基金项目:国防预研科学基金,航空九五预研课题
摘    要:本文提出了一种时空欠采样宽频段(2~18GHz)信号频率、方位角和仰角三维参数估计方法.该方法采用均匀圆阵和阵元延时,可在时间欠采样条件下实现频率无模糊估计;在空间欠采样条件下,用整数搜索法实现方位角和仰角无模糊估计,且频率、方位角和仰角估计可自动配对.该方法不仅可用于二阶统计量阵元空间和DFT波束空间,而且还可用于四阶累积量,可在高斯白或色噪声背景下,估计非高斯信源的参数.在DFT波束空间、阵元数相同和最大孔径相当时,该方法方位角和仰角估计的方差比L阵方法的方差小1~2个数量级.仿真实验表明了算法的有效性.

关 键 词:时空欠采样  四阶累积量  三维参数估计  自动配对  高斯噪声  
收稿时间:1998-10-19

Frequency Angle 2D Angle Estimation of Wide Frequency Band Signals with Sub-Nyquist Spatio-temporal Sampling
SI De-yi,LIU Rong-ke,CHENG Dai-song,SHEN Shi-tuan,ZHOU Yin-qing.Frequency Angle 2D Angle Estimation of Wide Frequency Band Signals with Sub-Nyquist Spatio-temporal Sampling[J].Acta Electronica Sinica,2000,28(3):9-12.
Authors:SI De-yi  LIU Rong-ke  CHENG Dai-song  SHEN Shi-tuan  ZHOU Yin-qing
Affiliation:Dept.of E.E.,Beijing University of Aeronautics and Astronautics,Beijing 100083,China
Abstract:A method is presented for estimation of the frequency,azimuth and elevation angles of the signal over a very wide frequency band (2~18GHz) with sub-Nyquist spatio-temporal sampling.Using a uniform circular array and antennas time-delaying,it can provide unambiguous frequency estimation under temporal undersampling,and provides unambiguous azimuth and elevation estimation using integer search algorithm under spatial undersampling.The estimations of azimuth and elevation and corresponding frequency are automatically paired.It not noly can use second-order statistics in element space or DFT beamspace,but also can use fourth-order cumulants to estimate the parameters of non-Gaussian sources in Gaussian white or colored noises.The variance of the azimuth and elevation estimates of this method is 1~2 orders less than that of L-shaped array algorithm under the same antenna numbers and the maximum aperture in DFT beamspace.Simulations are presented to show the capabilities of the algorithm.
Keywords:sub  Nyquist spatio  temporal sampling  fourth  order cumulants  three dimensional parameters estimation  automatic pair  Gaussian noise
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