Signal number detection method applied on condition of incoherent signal and coherent signal mixing

Abstract

The invention discloses a signal number estimation method applied in incidence of incoherent signals and multiple groups of coherent signals on the basis of uniform linear arrays. After an outer-product matrix based on a cross covariance matrix of received signals of two linear arrays is acquired, a first combined matrix is constructed by the cross covariance matrix and a transformation matrix thereof, and an outer-product matrix of the combined matrix is acquired, the number of the incoherent signals and the number of the groups of coherent signals can be acquired according to the rank of the two outer-product matrixes. Further, a new oblique projector is estimated to suppress the incoherent signals of data of the received array, a series of cross covariance matrixes composed of data of one uniform linear array and a series of sub-arrays of the other uniform linear array form a new combined matrix, and the rank of the outer-product matrix of the combined matrix is equal to the number of the coherent signals. According to great quantities of experiments, the signal number estimation method with less snapshots and low signal-to-noise ratio is superior to the MDL / AIC method, the MENSE method and the SRP(smoothed rank profile test) which are subjected to the FBSS (front-rear space smooth) preprocess.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a method for detecting the number of signals in the case of mixed non-coherent and coherent signals. Background technique [0002] The two main research directions of array signal processing are signal number estimation and signal direction estimation. The signal number estimation is the basis of direction estimation. When the signal number estimation is inaccurate, the signal direction estimation will be seriously affected. Therefore, it is of great significance to study an efficient and accurate signal number estimation algorithm. [0003] Among the signal number detection algorithms, the most classic ones are algorithms based on information theory criteria, including algorithms based on AIC criteria and MDL criteria. However, in practice, due to the existence of multipath transmission effects, the incident signals are often completely correlated (t...

AI Technical Summary

Problems solved by technology

[0005] Although in 2012 H.Tao et al proposed a new mixed signal number detection algorithm (see H.Tao, J.Xin, J.Wang, N.Zheng, and A.Sano "Estimation of the number of narrowband signals in the presence of multipath propagation," in Proc.IEEE7th Sens.Array and Multichannel Signal Process.Workshop, pp.497-500, Hoboken, NJ, 2012.), the algorithm can only solve uncorrelated signals and a group of coherent signals mixed The number estimation problem under

Images