Doppler compensation method for the complementary phase‐coded signal

Li, Wenji; Ren, Lixiang; Mao, Erke; Fan, Hong-Yi

doi:10.1049/joe.2019.0379

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…If the autocorrelation function in the single-chip microcomputer system is relatively clear and has almost no peak value, it means that the multichannel communication electronic signal has a good correlation; when the phase of the pseudocode is completely matched, the peak value generated during the connection process will be very obvious. If the pseudo-code phase is deviated, the difference exceeds the duration of one chip, that is, the connection correlation value is 0. e automatic acquisition system of multichannel electronic communication signals further determines the communication interval by combining the principle of the Doppler frequency offset compensation algorithm, so that the reliability of the final acquisition result is higher [19]. e process is as follows:…”

Section: Multichannel Electronic Communication Signal Capturementioning

confidence: 99%

Construction of Automatic Acquisition System for Multichannel Electronic Communication Signals Based on Sorting Optimization Algorithm

Hao

2022

Mobile Information Systems

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In both the military and the civilian world, multichannel electronic communication signals are widely used. The goal of signal processing in contemporary communication systems is to capture the signal. The traditional multichannel electronic communication signal automatic capture system has a limited range of performance, which slows down the rate of capture. This study used the sorting algorithm to build an automatic acquisition system for multichannel electronic communication signals in order to address this issue. The system processes the communication signal using the quick sorting method in the sorting optimization algorithm, achieving the goal of more precisely obtaining the carrier frequency and pseudo-code phase, and resolving the issue of slow system acquisition caused by the lengthy pseudo-code period. According to the experimental findings, the improved system’s acquisition rate is 6.89% higher than the conventional system’s, ensuring efficiency and reducing processing time in real-world communication applications.

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Section: Multichannel Electronic Communication Signal Capturementioning

confidence: 99%

Construction of Automatic Acquisition System for Multichannel Electronic Communication Signals Based on Sorting Optimization Algorithm

Hao

2022

Mobile Information Systems

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“…The authors of [12] managed to compensate for the Doppler effect on complementary phase modulation signals. By creating a new complementary code of length N and multiplying each sample at index n by the conjugate of the adjacent sample at n + 1 in the new code, the method is able to produce the desired compensated code.…”

Section: Introductionmentioning

confidence: 99%

A Time-Domain Doppler Estimation and Waveform Recovery Approach with Iterative and Ensemble Techniques for Bi-Phase Code in Radar Systems

Youssef,

Moa,

Driessen

2024

Remote Sensing

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This paper presents a novel, cost-effective technique for estimating the Doppler effect in the time domain using a single pulse and subsequently leveraging the precise Doppler value to recover the radar waveform. The proposed system offers several key advantages over existing techniques, including the ability to calculate the target speed without any frequency ambiguity and the ability to detect a wide range of target speeds. These two features are not available in any existing techniques, including the conventional moving target detection (MTD) processor. To ensure improved accuracy and robust estimation, the system employs ensemble and iterative techniques by recursively and efficiently reducing the Doppler residues from the signal. Furthermore, the proposed system demonstrates effective signal recovery of a well-known bi-phase code shape at low signal-to-noise ratios in just a few iterations. The performance evaluation of the new algorithm demonstrates its practicability and its superiority over traditional radar systems. Implementation on software-defined radio (SDR) reveals that the proposed system excels in Doppler estimation and signal recovery at low SNRs, demonstrating promising results.

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“…Moreover, the detection performance had not been evaluated after applying the method. Authors in [7] succeeded to compensate the Doppler effect on the complementary PM signals. This technique requires generating a new complementary code of length N for every desired sequence of length N‐1, as the compensation occurs by multiplying every sample at index n by the conjugate of the adjacent sample at

n+1

in the new code.…”

Section: Introductionmentioning

confidence: 99%

Radar detection and speed estimation of high‐speed targets using phase‐modulated waveforms

Zahra

Mehany

Ahmed

et al. 2023

Electronics Letters

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Specifying parameters of high‐speed targets as range and velocity in radar systems operating with phase‐modulated signals is a problematic process because of the serious effect of high Doppler frequency on these types of waveforms. In the existence of a high‐speed target, its Doppler frequency will be very high such that it totally changes the phase sequence of the received signal. As a result, the matched filter output will be distorted. Therefore, estimating target parameters will be impossible. In this letter, a new method is proposed for detecting and estimating velocity of high speed targets using phase‐modulated signals. The suggested technique methodology depends on compensating the target high‐Doppler frequency for signal recovery using a customized waveform shape. Moreover, the Doppler frequency value is estimated without ambiguity from one pulse, and without the need for a range‐Doppler module. As such, the implementation of the proposed method is simple and inexpensive. The performance evaluation of the new method shows its superiority in compensation and estimation compared to other techniques when examined under higher Doppler frequency and noise compared to the conventional radar.

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Doppler compensation method for the complementary phase‐coded signal

Cited by 4 publications

References 3 publications

Construction of Automatic Acquisition System for Multichannel Electronic Communication Signals Based on Sorting Optimization Algorithm

Construction of Automatic Acquisition System for Multichannel Electronic Communication Signals Based on Sorting Optimization Algorithm

A Time-Domain Doppler Estimation and Waveform Recovery Approach with Iterative and Ensemble Techniques for Bi-Phase Code in Radar Systems

Radar detection and speed estimation of high‐speed targets using phase‐modulated waveforms

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