Far field broadband RCS data acquisition and compression method based on basis pursuit denoising

Abstract

The invention provides a far field broadband RCS data acquisition and compression method based on basis pursuit denoising. Through the random down sampling in an orientation direction and altitude direction, the actual measurement total amount of RCS is reduced, in the condition of not losing too much radar target electromagnetic scattering characteristic information integrity, the measurement of observation object RCS data by a radar system is shortened, and thus the working efficiency of a whole measurement system is improved. According to the basis pursuit denoising model, a sparse reconstruction algorithm with the combination of a far field broadband RCS data processing operator is used, the data compression of echo area RCS data is realized, the loss of radar target electromagnetic scattering characteristic information in the data compression process can be reduced, the calculating complexity and memory loss of a compression algorithm can be reduced further, and thus the above data compression process becomes accurate, rapid 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 far-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 ...

AI Technical Summary

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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