Improved MUSIC direction-of-arrival estimation method

A direction of arrival estimation and improved technology, applied in the fields of communication countermeasure reconnaissance, radar, and signal processing, can solve problems such as errors and difficulties

Pending Publication Date: 2021-04-16
UNIT 63892 OF PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

If the estimated number of signals does not match the actual number, the number of spectral peaks obtained by many super-resolution algorithms will not match the actual number of spectral peaks, resulting in errors in DOA estimation. Therefore, the estimation of the number of signal sources is very important for direction finding. The effect has an important influence; however, the estimation of the number of signal sources is currently a technical difficulty in the field of array signal processing, and it is very difficult to achieve accurate estimation of the number of signal sources under complex electromagnetic environment conditions such as low signal-to-noise ratio

Method used

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Experimental program
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Effect test

Embodiment 1

[0061] Input signal-to-noise ratio SNR=-5dB, the number of signal sampling points is T 1 =1024, the number of signals is 3, the angles of arrival of the signals are respectively -45°, 30°, and 60°, and the number of array elements is M=8.

[0062] An improved MUSIC direction of arrival estimation method, which comprises the following specific steps:

[0063] S1. Constructing a far-field signal DOA estimation model

[0064] Suppose there are 3 far-field signals from the direction θ 1 ,θ 2 ,θ 3 Incident to an array composed of 8 sensors, the array observation signal at time t is X(t), expressed as

[0065]

[0066] Among them, X(t)=[X 1 (t),X 2 (t),...,X M (t)] T is the array observation signal vector, T means transpose;

[0067] a(θ k ) is the array direction vector;

[0068] A(θ)=[a(θ 1 ), a(θ 2 ), a(θ 3 )] is the steering vector matrix composed of direction vectors;

[0069] θ=[θ 1 ,θ 2 ,θ 3 ] T is the arrival angle parameter vector of the signal;

[00...

Embodiment 2

[0112] As shown in Figure 2, the input signal-to-noise ratio SNR = 10dB, and the number of signal sampling points is T 1 =1024, the number of signals is 1, the signal arrival angle is -60°, and the number of array elements is M=8.

[0113] An improved MUSIC direction of arrival estimation method, which comprises the following specific steps:

[0114] S1. Constructing a far-field signal DOA estimation model

[0115] Suppose there is 1 far-field signal from the direction θ 1 Incident to an array composed of 8 sensors, the array observation signal at time t is X(t), expressed as

[0116]

[0117] Among them, X(t)=[X 1 (t),X 2 (t),...,X M (t)] T is the array observation signal vector, T means transpose;

[0118] a(θ k ) is the array direction vector;

[0119] A(θ)=[a(θ 1 )] is the steering vector matrix composed of direction vectors;

[0120] θ=[θ 1 ] T is the arrival angle parameter vector of the signal;

[0121] S(t)=[s 1 (t)] T is the incident signal vector; ...

Embodiment 3

[0164] The input signal-to-noise ratio SNR=10dB, the number of signal sampling points is T 1 =1024, the number of signals is 4, the angles of arrival of the signals are -60°, 15°, 30°, and 45° respectively, and the number of array elements is M=8.

[0165] An improved MUSIC direction of arrival estimation method, which comprises the following specific steps:

[0166] S1. Constructing a far-field signal DOA estimation model

[0167] Suppose there are 4 far-field signals from the direction θ 1 ,θ 2 ,θ 3 ,θ 4 Incident to an array composed of 8 sensors, the array observation signal at time t is X(t), expressed as

[0168]

[0169] Among them, X(t)=[X 1 (t),X 2 (t),...,X M (t)] T is the array observation signal vector, T means transpose;

[0170] a(θ k ) is the array direction vector;

[0171] A(θ)=[a(θ 1 ), a(θ 2 ), a(θ 3 ), a(θ 4 )] is the steering vector matrix composed of direction vectors;

[0172] θ=[θ 1 ,θ 2 ,θ 3 ,θ 4 ] T is the arrival angle paramet...

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Abstract

The invention discloses an improved MUSIC DOA (direction of arrival) estimation method. The method comprises the following steps that a far-field signal DOA estimation model is constructed; a covariance matrix of the array observation signals is calculated, and characteristic decomposition is performed on the covariance matrix; the number of signal sources is preset, and a noise subspace is obtained; a MUSIC algorithm is applied to carry out spatial spectrum estimation, and an arrival angle is estimated by searching a wave crest; for a group of observation signals, signal arrival angle estimation is carried out for multiple times, and then a final estimated DOA is obtained through a processing mode of averaging. According to the method, the number of the signal sources can be estimated, meanwhile, the adverse effect on DOA estimation due to the fact that other technologies are adopted for estimating the number of the signal sources and inaccurate estimation of the number of the signal sources can be avoided, and the estimation precision of the signal incoming wave direction is improved.

Description

technical field [0001] The invention belongs to the technical field of signal processing, relates to the technical field of radar and communication countermeasure reconnaissance, and in particular relates to an improved MUSIC wave direction of arrival estimation method, which is used for detecting incoming waves of narrow-band signal sources such as radar signals and communication signals in complex electromagnetic environments. direction is estimated. Background technique [0002] In electronic warfare, the passive detection system for the purpose of signal reconnaissance conducts reconnaissance by intercepting electromagnetic signals radiated by enemy electronic equipment, which has the advantages of long range, good concealment, and strong anti-electronic interference ability. play an important role. The direction finding of the radiation source signal, also known as the estimation of the direction of arrival (DOA), is an important link in the implementation of direction...

Claims

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Application Information

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IPC IPC(8): G01S3/14
Inventor 王川川董晓博曾勇虎汪连栋李志鹏朱宁陆科宇
Owner UNIT 63892 OF PLA
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