Adaptive impulsive noise elimination method of DOA (direction of arrival) estimation system
A technology of direction of arrival estimation and impact noise, which is used in radio wave measurement systems, direction-determining directional devices, measurement devices, etc.
Inactive Publication Date: 2013-06-05
SHANGHAI RADIO EQUIP RES INST
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Problems solved by technology
However, this type of method requires prior information or estimated values of the distribution characteristics of the shock noise, which is difficult to achieve in practical applications; and these methods are based on the MUSIC algorithm, which requires a time-consuming spectral peak search
A method that can be applied to the ESPRIT method with high processing efficiency to perform robust DOA estimation in the background of impact noise has not yet been proposed.
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[0050] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.
[0051] Such as figure 1 Shown:
[0052] Concrete implementation scheme of the present invention is as follows:
[0053] Step 1: The signal obtained by each element of the array antenna is processed by using the modified empirical mode decomposition to obtain multiple signal components;
[0054] Step 2: Judging the statistical characteristics of each signal component, and finding one or more components with impact noise characteristics;
[0055] Step 3: Eliminate the impact noise component from the original signal, and input the noise-suppressed signal into the direction-of-arrival estimation module for processing.
[0056] The specific implementation is as follows:
[0057] Step 1: Apply the modified empirical mode decomposition to decompose the signals received by each array element of the array antenna, such as figure 2 shown.
[0058...
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The invention relates to the field of array signal processing and solves the technical problems of providing an adaptive impulsive noise elimination method of a DOA (direction of arrival) estimation system, utilizing corrected empirical mode decomposition and corresponding means to adaptively eliminate the noise of signals with impulsive noise without any prior information. The method includes processing the signals obtained by every array element of an array antenna with the corrected empirical mode decomposition to obtain a plurality of signal components; judging the statistical properties of every signal component to obtain one or more signal components with impulsive noise properties; and eliminating the signal components with the impulsive noise properties from the original signals, and imputing the noise-eliminated signal to a DOA estimation module for processing. The adaptive impulsive noise elimination method of the DOA estimation system can preprocess the signal obtained by every array element of the array antenna with noise elimination and enable the DOA estimation technology to be used in an environment where the background noise is impulse noise and to maintain high estimation precision and stability.
Description
technical field [0001] The invention relates to the field of array signal processing. technical background [0002] Direction of arrival estimation is a very important research direction in array signal processing, and has a wide range of applications in radar, sonar and communication fields. The existing direction of arrival estimation usually assumes that random signals and noises obey the Gaussian distribution. Based on this assumption, classical direction of arrival estimation methods including MUSIC and ESPRIT all use the second-order or higher statistics of the array received data to obtain ideal estimates. result. A large number of experimental data show that the random signals and noise encountered in practical applications do not all obey the Gaussian distribution, but in many cases are impact noise with a tailing probability density function. Since the second-order and above moments do not exist in the symmetric α-stable distribution used to represent the impact ...
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IPC IPC(8): G01S3/00
Inventor 包飞陈潜
Owner SHANGHAI RADIO EQUIP RES INST