Method for high-precision ranging and velocity measurement of short-range detector with multi-parameter composite modulation controlled by pseudo-random code

By combining FFT and CZT transforms with time-domain undersampling techniques, the problem of insufficient accuracy in ranging and velocity measurement in pseudo-random code-controlled multi-parameter composite modulation systems was solved, achieving high-precision target distance and velocity measurement.

CN116774204BActive Publication Date: 2026-07-24NANJING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF SCI & TECH
Filing Date
2023-06-09
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In existing pseudo-random code-controlled multi-parameter composite modulation systems, the FFT transform is limited by the sampling rate during ranging and velocity measurement, resulting in large measurement errors. Furthermore, the picket fence effect makes it difficult to detect the true spectral signal, leading to insufficient accuracy.

Method used

A frequency measurement method combining FFT and CZT transformations, along with time-domain undersampling technology, is used to extract the Doppler frequency from the difference frequency signal. The CZT spectrum refinement algorithm is then used to accurately measure the difference frequency signal frequency, and the target distance and velocity are calculated based on the Doppler frequency.

Benefits of technology

It improves the accuracy of distance and velocity measurement, reduces frequency measurement error, and achieves high-precision target distance and velocity measurement.

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Abstract

The application discloses a kind of pseudo-random code control's multi-parameter composite modulation short-range detector high-precision ranging velocity measurement method, comprising: echo signal and local oscillator mixing, obtain the intermediate frequency signal containing Doppler signal and difference frequency signal by low-pass filter, filter out high-frequency component;The input signal is converted into complex signal first after FFT, determine the refinement interval, then utilize spectrum refinement algorithm to accurately measure difference frequency signal frequency, calculate target distance by difference frequency frequency;Difference frequency signal is under-sampled to extract Doppler frequency, and the frequency of Doppler signal is measured by FFT, and the target speed is calculated by Doppler frequency.The application is from the establishment of composite system difference frequency signal model, using CZT conversion and time domain under-sampling technique to process difference frequency signal, finally extract difference frequency and Doppler signal frequency.
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