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A Main Lobe Mobile Interference Elimination Method Based on Gray Kalman Filter

A Kalman filter and interference elimination technology, applied in the field of signal processing, can solve problems such as loss of function, achieve the effect of interference elimination and improve angle measurement performance

Active Publication Date: 2020-07-28
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, Wiener filtering is only suitable for the estimation of stationary random signals, that is, this method is only effective when the interference source is stationary. When the interference source is in the process of moving, the interference signal is a non-stationary random signal. At this time, the method of Wiener filtering will lose its effect

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  • A Main Lobe Mobile Interference Elimination Method Based on Gray Kalman Filter
  • A Main Lobe Mobile Interference Elimination Method Based on Gray Kalman Filter
  • A Main Lobe Mobile Interference Elimination Method Based on Gray Kalman Filter

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Embodiment Construction

[0028] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0029] The invention provides a method for eliminating main lobe mobile interference based on gray Kalman filtering, comprising the following steps:

[0030] Step 1, interference signal sampling:

[0031] Under the condition that the radar transmitter is not turned on and there is a mobile interference source, the interference signals received by the four original channels a, b, c, and d of the radar receiver antenna are sampled, and the sampling values ​​of the four original channel interference signals are obtained, respectively. expressed as r a,i 、r b,i 、r c,i 、r d,i , i=1,2,...,N, N is the total number of sampling points; the radar transmitter starts to work after the sampling is completed.

[0032] Then, the proportional coefficient at time N+1 is estimated by using the sampling values ​​of the original channel interference signal at time 1 to t...

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Abstract

The invention discloses a main-lobe mobile interference elimination method based on gray Kalman filtering. Proportion coefficient of cancellation channels can be predicted accurately when an interference source is in a mobile state, and mobile interference can be eliminated effectively by utilizing a main-lobe interference elimination method based on a sum-difference channel. Four groups of proportion coefficient sequences are constructed via the proportion of a sum channel to an azimuth difference channel, the proportion of a pitch difference channel to difference-difference channel, the proportion of the sum channel to the pitch difference channel and the proportion of the azimuth difference channel to the difference-difference channel; a proportion coefficient in next time is predictedvia a Kalman filtering method, relatively accurate sum-difference channel proportion coefficients in different time are obtained, the interference can be eliminated effectively when the interference source is in the mobile state, and the target angle measuring performance of a radar system is improved.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a gray Kalman filter-based main lobe moving interference elimination method. Background technique [0002] In communication and radar systems, interference is an important limiting factor affecting information transmission and target detection. When there is interference in the space environment, to ensure the normal performance of the radar system such as angle measurement and ranging, it is necessary to suppress and eliminate the interference signal. When the interference falls into the main lobe area, traditional adaptive beamforming will produce nulls in the main lobe, which will lead to distortion of the antenna pattern and greatly degrade the detection performance of the radar. Therefore, in today's complex electromagnetic environment, the study of the main lobe anti-jamming technology based on monopulse not only has important theoretical significance, but also h...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/28G01S7/41
CPCG01S7/2813G01S7/41
Inventor 李枫姚迪苑仁楷龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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