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Feature interference cancellation beam forming method based on estimation of number of information sources

A beam and number technology, which is applied in the field of adaptive beamforming, can solve the problems such as the degradation of the desired signal performance, achieve good anti-interference performance and avoid the effect of cancellation phenomenon

Active Publication Date: 2014-07-23
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Therefore, the ESB algorithm is only suitable for the environment with strong expected signal, and the performance will decrease when the expected signal is weak

Method used

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  • Feature interference cancellation beam forming method based on estimation of number of information sources
  • Feature interference cancellation beam forming method based on estimation of number of information sources
  • Feature interference cancellation beam forming method based on estimation of number of information sources

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] The method comprises the steps of:

[0040] Step 1, the array antenna receives incident waveforms of multiple signal sources, obtains a snapshot data vector of the incident waveform, performs array covariance matrix estimation and eigenvalue decomposition on the snapshot data vector, and obtains the eigenvector space of the snapshot data vector; This step includes the following steps ① to ③:

[0041] Step 1. Establishment of the signal model received by the array antenna;

[0042] In this embodiment, a uniform linear array is adopted, that is, an equidistant linear array composed of N isotropic array elements, assuming that there is a target signal and M narrowband interference signals incident as plane waves in the far field,

[0043] Arrival angles are θ 0 and θ 0 , θ 1 , ~, θ M , then the N×1-dimensional snapshot data vector x(t) received by the array can be expressed as

[0044] x(t)=As(t)+n(t) (1)

[0045] In the formula, x(t)=[x 1(t),x 2 (t),...,x N (t)]...

Embodiment 2

[0086] This embodiment is based on Embodiment 1, and the design parameters are shown in Table 1.

[0087]

[0088] The present invention compares the adaptive weight vectors obtained by the following algorithms:

[0089] 1. OPT under ideal conditions; 2. Diagonal loading algorithm LSMI, the diagonal loading amount is 10 ; 3. The characteristic interference cancellation algorithm ECB; 4. The adaptive beamforming algorithm ESB based on the characteristic subspace; 5. The improved ECB algorithm IECB of the present invention.

[0090] figure 2 When flag=1, the adaptive beam pattern of the method of the present invention and traditional ECB and other common algorithms, wherein the direction of the target signal is θ 0 =0°, intensity SNR=0dB, number of sampling snapshots K=2N, 1 Monte Carlo simulation. figure 2 Among them, the adaptive beam pattern of the method of the present invention almost coincides with the optimal beam pattern, while the ECB algorithm produces target ...

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Abstract

The invention provides a feature interference cancellation beam forming method based on estimation of the number of information sources, and belongs to the technical field of self-adaptive beam forming. The method comprises the steps that firstly, an array covariance matrix is estimated through a training sample, and feature value decomposition is conducted on the array covariance matrix so that feature values and feature vectors can be obtained; then, the number of the information sources is estimated through the feature values, whether target signals exist in a main lobe region or not is judged with a spatial spectrum estimation method through the feature vectors, and the number of interference sources is determined; finally, an interference subspace is constructed through the estimated number of the interference sources and the feature vectors, and a self-adaptive weight vector of an orthogonal projection complementary space located in the interference subspace is further obtained through the interference subspace. Good anti-interference performance can be obtained with the method, whether the target signals exist in training snapshots or not.

Description

technical field [0001] The invention belongs to the technical field of adaptive beamforming, and relates to a characteristic interference cancellation beamforming method based on information source number estimation. Background technique [0002] Adaptive beamforming technology is an important research content in the field of array signal processing. This technology utilizes the sampling data information of different incoming signals in space to adaptively adjust the weighting coefficients of each channel of the array. After weighting processing, the purpose of enhancing the target signal and filtering out interference and noise components can be achieved. Adaptive beamforming technology can greatly improve the anti-interference ability of the array because it can make full use of the spatial information obtained by the array antenna. It has been used in radar, communication, sonar, navigation, voice signal processing, earthquake monitoring, and biomedical engineering. Many...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨小鹏曾涛胡晓娜孙雨泽龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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