Wave arrival estimation method based on high-order accumulated amount

Abstract

The invention discloses a wave arrival estimation method based on the high-order accumulated amount, and belongs to the technical field of signal processing. According to the method, observation signals received by an equal-interval linear sensor array are used to estimate the direction of arrival and arrival time of a signal source. The method comprises the following steps that 1) spatial-time domain smoothing is carried out on the observation signals after Fourier Transform; 2) a four-order accumulated amount matrix of the signals after spatial-time domain smoothing is constructed; 3) an iterative part SVD method is used to construct a signal subspace and a noise subspace of the observation signals according to the four-order accumulated amount matrix; and 4) according to the orthogonality between the signal subspace and the noise subspace of the observation signals, the direction of arrival and arrival time of the signal source are estimated. The invention also discloses an ocean acoustic tomography method based on sound ray spreading time tomography and a positioning method. According to the invention, the computing complexity of an algorithm can be greatly reduced, the instantaneity of the algorithm is improved, and consumption of hardware resource is reduced.

Description

technical field [0001] The present invention relates to the technical field of signal processing, in particular to a wave arrival estimation method based on high-order cumulants. Background technique [0002] Direction of Arrival (DOA) estimation refers to the determination of the spatial positions of multiple signals of interest in a certain area of ​​space at the same time, that is, the direction angle of each signal arriving at the reference element of the array. Direction of arrival technology is an important research topic in array signal processing. The key to DOA estimation technology is to use antenna arrays at different positions in space to receive signals from multiple signal sources in different directions, and use modern processing methods to quickly and accurately estimate the direction of the signal source. Direction of arrival estimation technology is widely used in radar, sonar, seismic and other fields. [0003] After the 1980s, the academic community pro...

AI Technical Summary

Problems solved by technology

There are still some problems in this algorithm: (1) the resolution cannot meet the needs of practical applications; (2) the algorithm is based on second-order statistics, and it needs to assume that the signal is a Gaussian signal; (3) the number of elements in the sensor array must be greater than Number of sources to be separated

[0019] However, the above-mentioned algorithm based on high-order cumulant, due to the introduction of the high-order cumulant matrix of samples, will lead to an extremely large matrix size, and the ensuing problem is the demand for larger storage space and memory. The time consumption of such a calculation process of eigenvalue decomposition will also increase exponentially

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