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Sparse detection frequency signal-based inverse synthetic aperture radar (ISAR) imaging method

A technology of frequency signal and imaging method, applied in the field of radar, to achieve the effect of simplifying complexity, simplifying hardware implementation, and small storage capacity

Inactive Publication Date: 2013-01-16
XIDIAN UNIV
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Problems solved by technology

Therefore, so far, in engineering, the imaging method based on transmitting sparse detection frequency signals and processing radar echoes with compressive sensing methods has not been applied to ISAR imaging

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  • Sparse detection frequency signal-based inverse synthetic aperture radar (ISAR) imaging method
  • Sparse detection frequency signal-based inverse synthetic aperture radar (ISAR) imaging method
  • Sparse detection frequency signal-based inverse synthetic aperture radar (ISAR) imaging method

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Embodiment Construction

[0034] In the present invention, the compressed sensing theory is used to obtain discrete samples of the signal by random sampling under the condition that the sampling rate is much lower than that of Nyquist, and the reconstruction of the signal and the extraction of information can be realized through a small number of observation samples and combined with the signal processing theory.

[0035] Consider a discrete signal x of length N, which may be considered as an N×1 column vector here. If at most K elements are non-zero, i.e. it contains K scatter points, it is said to be K-sparse. In principle, the information in signal x is present in at most K elements rather than all N elements. Any signal can be represented by an N×1 column vector containing N The orthonormal basis of is shown. These N N×1 column vectors The column vector as a matrix constitutes an N×N base matrix Ψ=[ψ 1 |ψ 2 |...|ψ N ]. Here, the purpose of constructing the base matrix is ​​to express the s...

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Abstract

The invention relates to a sparse detection frequency signal-based inverse synthetic aperture radar (ISAR) imaging method. A sparse detection frequency signal is transmitted, and after being received, radar echo is processed by using a compressed sensing theory to obtain a target image. The method is based on the compressed sensing theory, and only a small part of measured data on a distance frequency domain and a direction slowness-time domain is required; and therefore, compared with the conventional method, the method has the advantages that a small volume of measured data is required, and a memory space is small. The shortcomings of large measured data volume, high memory consumption, complex design, difficulty in implementation, high cost, long development cycle and the like of the conventional ISAR imaging method are overcome, a data rate can be greatly lowered, the design of a radar system can be simplified, a user can be promoted to design a novel simplified radar system, cost is reduced, and a design focus is shifted from expensive radar system hardware to a high-efficiency signal recovery algorithm. Simulation and measured data processing results show that the method is effective.

Description

technical field [0001] The invention belongs to the field of radar technology, and mainly relates to inverse synthetic aperture radar (ISAR) imaging, in particular to an ISAR imaging method based on transmitting sparse detection frequency signals, which is used to obtain an ISAR image of a target through a small amount of measurement data, so as to effectively reduce the data rate and simplify the design of radar systems. Background technique [0002] As an all-weather, all-weather, long-distance information acquisition method, radar imaging technology has great application value in national defense and civilian fields. It greatly improves the ability of radar information acquisition and creates unprecedented opportunities for target recognition. An important milestone in development. [0003] Inverse synthetic aperture radar (ISAR) is an important development in the field of radar imaging. It is fixed by radar and relies on the movement of the target to form a large synth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S7/41
Inventor 王虹现王玥冯大政邢孟道梁毅
Owner XIDIAN UNIV
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