Method for estimating signal DOA (direction of arrival) under fewer snapshots and impulsive noise background

A technology of impact noise and direction estimation, which is applied to direction finders using ultrasonic/sonic/infrasonic waves, direction finders for measuring directions, direction finders using electromagnetic waves, etc. Direction and other problems, to achieve the effect of high robustness and good direction finding effect

Active Publication Date: 2014-11-19
HARBIN ENG UNIV
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Problems solved by technology

Due to the existence of various interferences, the number of snapshots obtained per unit time is limited. In this case, the performance of most existing algorithms is severely degraded, and even direction finding is not possible.

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  • Method for estimating signal DOA (direction of arrival) under fewer snapshots and impulsive noise background
  • Method for estimating signal DOA (direction of arrival) under fewer snapshots and impulsive noise background
  • Method for estimating signal DOA (direction of arrival) under fewer snapshots and impulsive noise background

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with drawings and embodiments.

[0036] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and propose a DOA direction finding method capable of measuring the number of small snapshots in an impact noise environment.

[0037] In order to solve the above problems, the present invention provides a new DOA direction-finding method based on a uniform linear array (ULA), which is applied to the DOA estimation of the number of small snapshots under the impact noise environment,

[0038] (1) Obtain signal sampling data:

[0039] X(t)=AS(t)+N(t),

[0040] Among them, X(t)=[x 1 (t),x 2 (t),...,x L (t)] T is the L×1-dimensional received data vector when the number of snapshots is t, A is the array flow matrix, S(t) is the M×1-dimensional narrowband signal vector, N(t) is the L×1-dimensional additive noise vector, The noise type is complex impact noi...

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Abstract

The invention relates to a method for estimating signal DOA (direction of arrival) under fewer snapshots and an impulsive noise background. The method comprises the following steps: collecting signal sampling data; performing impact removal pretreatment on the received signal data vector; re-sampling and building the covariance matrix of a matrix subjected to impact removal; decomposing the subspace of the re-sampled built covariance matrix, so as to obtain the noise subspace of the covariance matrix; respectively solving the covariance matrix re-sampled for B times, so as to obtain a vector matrix formed by B incident angle estimated values theta, and using a confidence space to correct the matrix and calculating the mean value (theta)i, so as to obtain the estimated value of final DOA angle (theta)i. According to the invention, the received data is preprocessed, so that the impulsive noise can be effectively suppressed; the block-bootstrap method is adopted to resample and build the data matrix, so that the signal can be effectively expanded under the fewer snapshots; the method is high in robustness and is suitable for the estimation of DOA under fewer snapshots and the impulsive noise background and a good direction measurement effect is achieved.

Description

technical field [0001] The invention relates to a method for estimating the direction of arrival (Direction of Arrival, DOA) of a small snapshot signal in an impact noise environment. Background technique [0002] DOA estimation is an important research field in array signal processing, and has a wide range of applications in electronic warfare, radar, sonar, radio astronomy, seismology, satellites, and mobile communication systems. [0003] The traditional DOA algorithm is aimed at a fixed source, and it is set to estimate the number of snapshots under the condition that the known distribution is Gaussian white noise. However, in practical applications, the noise often does not obey the Gaussian distribution or has impact, such as sea noise Wave noise, atmospheric discharge noise, wireless channel instantaneous interference noise, etc. Therefore, the DOA algorithm for the non-Gaussian white noise environment with unknown parameter characteristics is an important topic in th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/00
CPCG01S3/74G01S3/78G01S3/8006
Inventor 刘磊刁鸣高洪元
Owner HARBIN ENG UNIV
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