Compressed sensing synthetic aperture radar radio frequency interference suppression handling method

A synthetic aperture radar, compressed sensing technology, applied in the direction of using re-radiation, reflection/re-radiation of radio waves, measurement devices, etc., can solve the problem of sparse prior conditions of RFI damage scenes, imaging processing cannot be completed correctly, etc.

Inactive Publication Date: 2013-05-08
BEIHANG UNIV
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is: in SAR imaging of compressed sensing technology, the existence of RFI will destroy the prior condition of scene spars

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  • Compressed sensing synthetic aperture radar radio frequency interference suppression handling method
  • Compressed sensing synthetic aperture radar radio frequency interference suppression handling method
  • Compressed sensing synthetic aperture radar radio frequency interference suppression handling method

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] The present invention first uses the greedy algorithm to estimate the RFI spectrum with sparse characteristics for the echo data after compression sampling, and uses the minimum description length criterion to determine the sparsity of the RFI component; then estimates the RFI signal for each pulse echo signal components and directly filtered out in the time domain; finally, the conventional compressed sensing SAR reconstruction algorithm is applied to realize imaging processing, and its implementation process is as follows: figure 2 As shown, it specifically includes the following four steps:

[0034] 1. Based on the obvious sparse features of RFI components in the frequency domain, establish a compressed sensing model for RFI signals

[0035] When RFI is present, the SAR received signal of a single pulse can be expressed as:

[00...

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Abstract

The invention provides a compressed sensing synthetic aperture radar radio frequency interference suppression handling method. The method includes the following steps: (1) building a compressed sensing model of a radio frequency interference (RFI) signal based on an obvious sparse feature of a RFI component in frequency domain, (2) estimating sparseness of the RFI component by using a greedy algorithm to combine with minimum description length, (3) estimating a RFI signal component and filtering directly in time domain to an echo signal of each pulse, and (4) achieving imaging process by using an conventional compressed sensing synthetic aperture radar (SAR) reconstructing algorithm. The compressed sensing synthetic aperture radar radio frequency interference suppression handling method is based on the sparse feature of the RFI component in the frequency domain and builds a RFI sparse model based on a compressed sensing theory, restrains narrow-band and broadband RFI signals effectively by using the iterative greedy algorithm to estimate and filter the RFI component in the echo signal.

Description

technical field [0001] The invention belongs to the field of target detection, in particular to a method for processing radio frequency interference of compressed sensing synthetic aperture radar. Background technique [0002] Synthetic Aperture Radar (SAR) has all-day and all-weather working capabilities, and has become one of the important sensors for military reconnaissance and civilian remote sensing. Radio Frequency Interference (RFI) is the main source of interference faced by low-frequency band (HF / UHF / L) SAR systems. Common RFI includes various wireless broadcasting, television and ground communication signals. Strong RFI signals will seriously affect the quality of SAR imaging, deteriorate the detection and recognition performance of weak targets, and even cover the real imaging scene. Therefore, the suppression of RFI signals is an important part of low-frequency band SAR imaging processing, and the commonly used typical RFI suppression methods can be basically di...

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Application Information

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IPC IPC(8): G01S7/36G01S13/90
Inventor 孙进平麦超云高飞田继华崔如心
Owner BEIHANG UNIV
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