Velocity ambiguity resolution for wideband automotive millimeter wave radar: a carrier frequency multiplexing framework

Zhang, Cheng; Cao, Mengde; Yang, Lei; Gong, Yu; Huang, Yongming

doi:10.1080/09205071.2020.1713226

Cited by 2 publications

(1 citation statement)

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“…To alleviate the above problems, some single-frame velocity de-ambiguity schemes have been proposed. In [22], a resolution scheme via exploiting carrier frequency multiplexing is proposed. However, the method only requires a set of primary Linear Frequency Modulated Continuous Wave (LFMCW) signals but increases the signal bandwidth, which puts higher demands on the radar Analog to Digital Converter (ADC) sampling rate.…”

Section: Introductionmentioning

confidence: 99%

A Velocity Ambiguity Resolution Algorithm Based on Improved Hypothetical Phase Compensation for TDM-MIMO Radar Traffic Target Imaging

Yang,

Liu,

Zhang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In principle, the imaging millimeter wave radar based on Time Division Multiplexing-Multiple Input Multiple Output (TDM-MIMO) technologies can provide richer target information for intelligent transportation systems due to the highdensity target point cloud output. However, the chirp repetition interval extension reduces radar's inherent maximum detectable velocity, leading to the unavoidable problem of estimating the target velocity with a large ambiguity period in imaging radar moving target surveillance applications. To alleviate these problems, we propose an improved Hypothetical Phase Compensation algorithm. Unlike the original method of determining the Doppler ambiguity period by comparing the peak amplitude of the angular power spectrum in each hypothetical case, the proposed algorithm selects the peak of the angular power signal-to-noise ratio (SNR) spectrum as the processing object and jointly decides the target speed by the average of the two highest wave peak intervals in the SNR variation curve. Simulations and practical experiments show that the improved algorithm has higher antiinterference performance. In particular, the proposed algorithm can remain continuously effective when multiple targets or angle information exist in the same distance-Doppler cell, making it more suitable for MIMO imaging applications.

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Section: Introductionmentioning

confidence: 99%