Abstract

In this paper, a three-dimensional (3D)-subspace-based azimuth angle, elevation angle, and range estimation method with auto-pairing is proposed for frequency-modulated continuous waveform (FMCW) radar with an L-shaped array. The proposed method is designed to exploit the 3D shift-invariant structure of the stacked Hankel snapshot matrix for auto-paired azimuth angle, elevation angle, and range estimation. The effectiveness of the proposed method is verified through a variety of experiments conducted in a chamber. For the realization of the proposed method, K-band FMCW radar is implemented with an L-shaped antenna.

Highlights

  • Many commercialized radar systems have become available for automotive, surveillance, anti-drone, medical, and personal security applications, as in [1,2]

  • The proposed 3D-subspace-based algorithm for joint estimation of range, elevation angle, and azimuth angle is verified through experiments using the implemented frequency-modulated continuous waveform (FMCW) radar system with an L-shaped receiving array

  • Since the proposed method has been developed for the joint estimation of elevation angle, azimuth angle, and range for FMCW radar with an L-shaped array, we propose a stacked Hankel matrix to exploit the 3D shift-invariant structure

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Summary

Introduction

Many commercialized radar systems have become available for automotive, surveillance, anti-drone, medical, and personal security applications, as in [1,2]. Among the literature [6,7,8,9,10,11], there are no 3D-subspace-based algorithms for the joint estimation of range, azimuth angle, and elevation angle in FMCW radars. Concerning the joint estimation of azimuth and elevation angle, an L-shaped antenna structure has been proposed with two-dimensional (2D) estimation algorithms [12,13] for paired estimation of the two angles in recent studies. The proposed 3D-subspace-based algorithm for joint estimation of range, elevation angle, and azimuth angle is verified through experiments using the implemented FMCW radar system with an L-shaped receiving array. In addition to the 3D shift-invariant parameter estimation algorithm, a 24 GHz FMCW radar system has been implemented with transmitting lens antenna and receiving L-shaped antenna elements. The effectiveness of the proposed algorithm was verified through a variety of experiments with the implemented FMCW radar system

System Model
Proposed Algorithm
Shift-Invariant Structure for Range
Shift-Invariant Structure for Two Electrical Angles
Signal Subspace
Low-Complexity Pairing
Complexity Analysis
Implementation of 24-GHz L-Shaped Radar
Transmitting and L-Shaped Receiving Antennas
Data-Logging Platform
Megabit
Experiments
Conclusions

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