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Near-field broadband RCS (Radar Cross Section) data acquisition and compression method based on basis pursuit denoising

A compression method and data acquisition technology, applied to radio wave measurement systems, instruments, etc., can solve the problems of frequent maintenance of storage devices, low system work efficiency, and large storage space, and reduce computational complexity and memory loss. Reduced loss, precise effect of data compression process

Active Publication Date: 2016-11-09
INST OF ELECTRONICS CHINESE ACAD OF SCI +1
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Problems solved by technology

The above operations will cause the measurement system to work for a long time in the process of collecting the same target RCS data, resulting in a very low working efficiency of the entire system
In addition, since the RCS data of complex targets is usually not compressible in the echo domain, storing the above data will inevitably occupy a large amount of storage space, causing researchers to maintain the storage equipment of experimental facilities more frequently

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  • Near-field broadband RCS (Radar Cross Section) data acquisition and compression method based on basis pursuit denoising
  • Near-field broadband RCS (Radar Cross Section) data acquisition and compression method based on basis pursuit denoising
  • Near-field broadband RCS (Radar Cross Section) data acquisition and compression method based on basis pursuit denoising

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Embodiment Construction

[0015] In the radar cross-section measurement experiment based on the ground-based platform, the distribution of the scattering center of the observed target usually has good sparsity. ). The total amount of actual measurement of RCS data is reduced by random downsampling in azimuth and elevation, and then the acquired echo data is converted into observation Scattering center of the target to achieve data compression for RCS data. In order to reduce the loss of radar target electromagnetic scattering characteristic information in the process of data compression, the SPGL1 algorithm (spectral projection gradient algorithm based on L1 norm penalty term) is selected as the method for reconstructing the scattering center of the observed target.

[0016] SPGL1 is an accurate and effective sparse signal reconstruction algorithm. The algorithm uses the root-finding method based on Newton iteration to update the regularization parameter value on the Lasso model Pareto curve, so that...

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Abstract

The invention provides a near-field broadband RCS (Radar Cross Section) data acquisition and compression method based on basis pursuit denoising. Through random down sampling in azimuth and elevation, the actual total measurement amount of the RCS data is reduced, in a condition in which the integrity of electromagnetic scattering characteristic information of a radar target is ensured not to be much lost, the measurement time for the RCS data of an observed target by the radar system is shortened, and thus, the working efficiency of the overall measurement system is improved. According to the basis pursuit denoising model, a sparse reconstruction algorithm combining a near-field broadband RCS data processing operator is used for realizing data compression on echo domain RCS data, loss of the electromagnetic scattering characteristic information of the radar target during the data compression process can be reduced, the calculation complexity and the memory loss of the compression algorithm can be further reduced, and the above data compression process becomes more accurate, quick and efficient.

Description

technical field [0001] The invention relates to the technical field of radar target RCS data acquisition and processing, in particular to a near-field broadband RCS data acquisition and compression method based on basis tracking and denoising. Background technique [0002] The Radar Cross Section (RCS) of a target is a physical quantity that characterizes the ability of a radar target to scatter irradiated electromagnetic waves. Long before the radar system appeared, using Maxwell's equations, the exact solution of electromagnetic scattering for several typical shapes of pure conductive targets has been obtained. After the radar system appeared in the 1930s, the radar target became an important link in the closed loop of radar receiving and transmitting, and the radar cross section is the most basic and important parameter to characterize the characteristics of the radar target. The real and false warhead identification and anti-identification technology of intercontinental...

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Application Information

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IPC IPC(8): G01S7/02G01S7/36
CPCG01S7/02G01S7/023G01S7/36
Inventor 全相印张冰尘吴一戎高超吕鸣
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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