Time-frequency DOA estimation method

Abstract

The invention discloses a time frequency DOA estimation method. The method comprises the following steps: establishing a time domain data model received by an array; performing snapshot sampling on the time domain data; performing time-frequency analysis on the snapshot sampling data to obtain a PWVD matrix; calculating a snapshot sampling data PWVD matrix with average time frequency; constructinga maximum likelihood equation; initializing the quantum position of the quantum mine; constructing a fitness function by using the maximum likelihood equation; simulating a quantum landmine explosionprocess to obtain a quantum position of the quantum elastic sheet; calculating a fitness function value of a quantum position mapping state of the quantum shrapnel, selecting an excellent quantum position with high fitness as a quantum position for placing the quantum landmine for detonating the next generation of quantum landmine, and updating a global optimal quantum position according to the fitness of all quantum positions; after the maximum number of iterations is reached, outputting the signal azimuth angle optimal estimation value. The method can obtain a relatively accurate non-stationary signal DOA estimation result in a relatively short time, and the method is still effective under the condition that a signal source is a coherent source.

Description

technical field [0001] The invention relates to a time-frequency DOA estimation method, in particular to a time-frequency DOA estimation method based on the quantum mine explosion mechanism, which belongs to the field of array signal processing. Background technique [0002] Direction of Arrival (DOA) estimation is an important research direction in array signal processing, and has a wide range of applications in radar, sonar, radio astronomy and other fields. At present, most of the DoA estimation methods are for stationary signals. Since the traditional DOA estimation methods for stationary signals are limited to spatial processing, the performance of DOA estimation for non-stationary signals is seriously deteriorated or even invalid. Therefore, it is necessary to design a special DOA Estimation Method for Nonstationary Signals. [0003] For the analysis of non-stationary signals, fractional Fourier transform, cyclic spectrum estimation, wavelet transform, time-frequency ...

AI Technical Summary

Problems solved by technology

At present, many intelligent computing methods are applied to solve complex optimization problems, among which mine explosion search is a heuristic intelligent computing method, which is inspired by the phenomenon that landmine explosions produce shrapnel and detonate other potential mines in the real world. characteristics, but it is easy to fall into local convergence, so it is necessary to improve the mine explosion method to have the advantages of fast convergence speed and high search accuracy

[0006] Through the retrieval of prior art documents, Yimin Zhang et al. proposed a time-frequency polarity method in "Time-frequency maximum likelihood methods for direction finding" published in "Journal of the Franklin Institute" (337(2000) 483-497). The large likelihood DOA estimation method can solve the coherence and does not need to perform preprocessing that causes the loss of the array aperture, but it does not solve the problem that the implementation process of the maximum likelihood estimation is complicated

In "Direction of Arrival Estimation of Nonstationary Signal Based on Time-frequency Music" published by Siyu Chen et al. in "IEEE International Symposium on Microwave" (10.1109 / MAPE.2015.7510425), a time-frequency MUSIC estimation method is proposed. If this method uses A small amount of calculation requires a large scanning interval, which cannot guarantee accurate estimation of non-stationary signals, and cannot effectively estimate coherent sources

The existing literature search results show that for the DOA estimation problem of non-stationary signals, there is a lack of a time-frequency DOA estimation method that can obtain more accurate estimation results in a short period of time and is still effective under the condition that the signal source is a coherent source.

Images