Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar

Abstract

This paper proposes a low complexity multiple-signal-classifier (MUSIC)-based direction-of-arrival (DOA) detection algorithm for frequency-modulated continuous-wave (FMCW) vital radars. In order to reduce redundant complexity, the proposed algorithm employs characteristics of distance between adjacent arrays having trade-offs between field of view (FOV) and resolution performance. First, the proposed algorithm performs coarse DOA estimation using fast Fourier transform. On the basis of the coarse DOA estimation, the number of channels as input of the MUSIC algorithm are selected. If the estimated DOA is smaller than 30°, it implies that there is an FOV margin. Therefore, the proposed algorithm employs only half of the channels, that is, it is the same as doubling the spacing between arrays. By doing so, the proposed algorithm achieves more than 40% complexity reduction compared to the conventional MUSIC algorithm while achieving similar performance. By experiments, it is shown that the proposed algorithm despite the low complexity is enable to distinguish the adjacent DOA in a practical environment.

An Experimental Multi-Target Tracking of AM Radio-Based Passive Bistatic Radar System via Multi-Static Doppler Shifts

“…x + Θ is a Bernoulli RFS that is generated by target state Furthermore, the greatest limitation on tracking target performance in the self-developed experimental PBR system is the interference and clutter in the received signal, for example, dense direct path interference and the DOA of echo signal with very low SNR under masking effects. Although the classic DOA estimation and clutter suppression methods have been studied over the past decade [22,23], most of them are unsuitable for processing HF-AM radio signal. We adopted the method of reference [24] by building a single-snapshot virtual array signal.…”

FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area

“…In FMCW radar systems, to solve this problem of estimators based on FFT, subspace-based algorithms have been studied [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. In [ 19 , 20 ], Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)-based algorithms are employed to accurately estimate the direction of arrival (DOA) of targets.…”

“…In [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ], multiple signal classification (MUSIC) algorithms, which are representative subspace-based algorithms, have been proposed. In [ 25 ], authors have proposed the distributed 2D MUSIC algorithm with coordinated transformation in a distributed way.…”

“…In [ 27 ], they have proposed the 3D MUSIC algorithm with auto-pairing by employing 3D shift-invariant stacked Hankel matrix, which consists of 1D Hankel matrices. In [ 29 , 32 , 34 ], authors employed the FFT-estimation to reduce the computational complexity of MUSIC algorithm for FMCW radar systems. In [ 34 ], first, range estimation based on FFT is performed, and thus range bins are obtained.…”

Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning

“…In recent years, gesture recognition has been playing an important role in opening new ways of human and machine interaction in a wide variety of applications such as wearable devices [ 1 , 2 , 3 ], smart phones [ 4 ], autonomous vehicles [ 5 , 6 , 7 ], and health care [ 8 ].…”