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Method for constructing adaptive threshold estimation signal source number in white noise background

An adaptive threshold and signal estimation technology, which is applied to direction-determining directional devices, instruments, measuring devices, etc., can solve problems such as loss of sensors, and achieve the effect of improving accuracy.

Inactive Publication Date: 2018-01-05
JILIN UNIV
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Problems solved by technology

There are many existing covariance matrix construction methods. The classic MUSIC estimation algorithm, ESPRIT estimation algorithm and Hankel matrix estimation algorithm all give feasible and effective matrix construction methods. In this paper, the Hankel matrix is ​​selected to construct the covariance matrix. Based on the Hankel matrix The advantage of constructing the covariance matrix is ​​that it can effectively remove the influence of noise. In the case of low signal-to-noise ratio and sampling rate, the noise has little influence on the overall selection method. The disadvantage is that the construction of the Hankel matrix must lose part of the received data of the sensor, that is, It is necessary to sacrifice part of the aperture to achieve the effect of removing noise, but compared with the spatial smoothing method, the loss of aperture is less
The existing method of estimating the number of signal sources by covariance eigenvalues ​​does not have much research on the threshold, and most of the threshold settings are fixed values ​​or empirical values. However, the setting of the parameter DL in the formula is still a fixed value

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  • Method for constructing adaptive threshold estimation signal source number in white noise background
  • Method for constructing adaptive threshold estimation signal source number in white noise background
  • Method for constructing adaptive threshold estimation signal source number in white noise background

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Embodiment Construction

[0041] Include the following steps:

[0042]Step 1. Establish an array sensor system to receive space target signals. According to the shape of the space array sensor system, the method of array signal processing is also different. According to the environment, the limitation of the expected function and the requirement of the arrangement of the array sensor, there are many shapes , taking the most basic linear array sensor as an example to explain. When the number of linear array sensors is M and the number of spatial signal sources is N, in a white noise environment, the sensor receiving data matrix of narrowband signals is:

[0043] X(t)=AS(t)+N(t) (1)

[0044] X(t) array received signal vector, the dimension is M×1, S(t) is the spatial signal vector, the dimension is M×1(N*1), N(t) is the received noise vector of M×1 dimension , A is an M×N-dimensional array manifold matrix, which can be expressed as:

[0045] A=[a 1 (ω 0 ) a 2 (ω 0 ) … a N (ω 0 )] (2)

[0046] ...

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Abstract

The invention relates to a method for constructing an adaptive threshold estimation signal source number in a white noise background, belonging to the technical field of array signal processing. Basedon the idea of an adaptive threshold, a basis for threshold setting and a reference formula suitable for threshold setting in the condition of a small number of sensors are presented, and the accuracy of signal source number estimation at a low signal-to-noise ratio can be effectively improved. A result is obtained through a simulation test, and the accuracy of the signal source number estimationin a low signal-to-noise ratio environment can be improved by using an adaptive threshold, which proves that the research of the adaptive threshold has certain research prospects and can be applied to an actual environment effectively.

Description

technical field [0001] The invention belongs to the technical field of array signal processing. Background technique [0002] At present, the main research content of array signal processing is to use a sensor array composed of multiple sensors placed in different positions in space to sample and process the received spatial signals, thereby extracting the signals and related parameters, and enhancing the signal components. Simultaneously suppress interference and noise components. [0003] Array signal processing is mainly applied to the estimation or determination of space target parameters, and the most important branch is direction of arrival (DOA) estimation. Compared with the traditional direction-finding array signal processing theory, it has many advantages, including flexible beam control, high spatial resolution, high signal gain, and strong anti-interference ability. Its two most important directions are adaptive array processing and spatial spectrum estimation....

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/00
Inventor 姚桂锦齐立恒张海蓉
Owner JILIN UNIV
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