High-accurate range acquisition for LFMCW radar with optimized maximum likelihood estimation towards Internet of Everything

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-02-28 DOI:10.1016/j.phycom.2025.102646

Kun Zhang, Ming Li, Bo Zhang, Ping Chu, Guowei Che

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引用次数: 0

Abstract

Linear frequency modulated continuous wave (LFMCW) radar, as an emerging key sensor, facilitates the realization of Internet of Everything (IoE) covering a tremendous range of areas such as healthcare, smart homes, and industrial automation. Among the applications towards IoE, the priority is high-accurate range acquisition of LFMCW radar. For the LFMCW radar, the beat frequency estimation directly determines the ranging accuracy. In this paper, we study the high-accurate beat frequency estimation using the optimized Maximum Likelihood Approach (MLA). The Nelder–Mead algorithm is employed during the optimization process. The numerical results reveal that the estimated beat frequency severely deviates from the theoretical value across various signal-to-noise ratio (SNR) levels without optimization. In contrast, our proposed method enables extremely accurate estimation of the beat frequency, with relative errors less than 1.6 Hz compared to the theoretical value. Accordingly, a high-accurate range with relative errors below 4.4 mm can be gained. Furthermore, it is concluded that both the estimated beat frequencies and ranges closely approach the Cramér–Rao bound across various SNR levels, which means that the optimized MLA has formidable noise immunity in practical applications, enabling highly accurate and robust range acquisition.

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面向万物互联的LFMCW雷达高精度距离获取与优化最大似然估计

线性调频连续波（LFMCW）雷达作为一种新兴的关键传感器，促进了物联网（IoE）的实现，覆盖了医疗保健、智能家居、工业自动化等广泛领域。在物联网的应用中，LFMCW雷达的高精度距离采集是优先考虑的问题。对于LFMCW雷达，拍频估计直接决定测距精度。本文研究了利用优化的最大似然法（MLA）进行高精度拍频估计的方法。优化过程中采用了Nelder-Mead算法。数值计算结果表明，在未进行优化的情况下，在不同信噪比（SNR）水平下，预估拍频严重偏离理论值。相比之下，我们提出的方法可以非常准确地估计出拍频，与理论值相比，相对误差小于1.6 Hz。因此，可以获得相对误差小于4.4 mm的高精度量程。此外，在不同信噪比水平下，估计的节拍频率和范围都接近cram r - rao边界，这意味着优化后的MLA在实际应用中具有强大的抗噪声能力，能够实现高精度和鲁棒的距离采集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.