A programmable pulse compressor design method

By designing a pulse compressor reference signal in the continuous time domain and converting it to the discrete time domain, the problems of non-ideal sidelobes and uncertainty of delay in the small time-bandwidth product linear frequency modulation signal in the prior art are solved, and the stability of the pulse compression output signal shape and effective control of the sidelobes are achieved.

CN115877341BActive Publication Date: 2026-06-23NANJING RES INST OF ELECTRONICS TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING RES INST OF ELECTRONICS TECH
Filing Date
2022-12-29
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing pulse compressor designs suffer from suboptimal sidelobe levels when processing linear frequency modulated signals with small time-bandwidth products, and are unable to maintain signal shape under arbitrary delays, resulting in the target signal being obscured by strong echoes.

Method used

The reference signal for the pulse compressor is designed in the continuous time domain. The input signal is approximated by a series of function terms. The coefficients of the reference signal are optimized in a high-dimensional space using a genetic algorithm. Combined with equal-interval sampling, the signal is converted to the discrete time domain to ensure that the length of the pulse compressor is equal to the length of the input signal, thus adapting to signal processing with arbitrary delay.

Benefits of technology

It achieves stability of the pulse compression output signal shape under arbitrary delay, reduces the influence of side lobes, maintains a relatively stable ratio between main and side lobes, and avoids strong signals obscuring weak targets.

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Abstract

The present application relates to a programmable pulse compressor design method, comprising the following steps: step 1, establishing a mathematical model for obtaining an optimal reference signal in a continuous time domain; step 2, searching for the coefficients of the Fourier series of the optimal reference signal in a high-dimensional space through a genetic algorithm; and step 3, synthesizing the reference signal in the continuous time domain according to the coefficients of the Fourier series of the optimal reference signal obtained in step 2, and obtaining the reference signal in a discrete time domain in an equal-interval sampling mode. The length of the pulse compressor designed by the present application is equal to the length of the input signal, and when a strong signal is encountered, no sidelobe interval greater than twice the length of the input signal is generated; after conversion to the discrete time domain, the waveform of the pulse compression processing result is independent of the signal delay amount, and the main-to-sidelobe ratio remains relatively stable.
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