A Robust Real Time Direction-of-Arrival Estimation Method for Sequential Movement Events of Vehicles

Abstract

Parameters estimation of sequential movement events of vehicles is facing the challenges of noise interferences and the demands of portable implementation. In this paper, we propose a robust direction-of-arrival (DOA) estimation method for the sequential movement events of vehicles based on a small Micro-Electro-Mechanical System (MEMS) microphone array system. Inspired by the incoherent signal-subspace method (ISM), the method that is proposed in this work employs multiple sub-bands, which are selected from the wideband signals with high magnitude-squared coherence to track moving vehicles in the presence of wind noise. The field test results demonstrate that the proposed method has a better performance in emulating the DOA of a moving vehicle even in the case of severe wind interference than the narrowband multiple signal classification (MUSIC) method, the sub-band DOA estimation method, and the classical two-sided correlation transformation (TCT) method.

Parametric Estimations Based on Homomorphic Deconvolution for Time of Flight in Sound Source Localization System

“…Note that the output of non-parametric HD in this experiment is represented by 1024 samples. However, the output of Prony HD and Steiglitz-McBride HD is denoted by 5 coefficients as a 1, a 2 , b 0 , b 1 , and b 2 according to the ARMA model shown in Equation (10). Also, the output of Yule-Walker HD is indicated by two coefficients as a 1 and a 2 along with the AR model demonstrated in Equation (8).…”

“…The parametric HDs provide the poles and zeros from the signal models given in Equations (8) and (10). The second column in Figure 7 presents the pole-zero plots to deliver the pole locations with x mark and zero locations with o mark.…”

“…A sensing technique to localize an approaching vehicle is proposed by an acoustic cue from the spatial-temporal gradient method [9]. For the sequential movement events of vehicles, robust direction-of-arrival estimation is realized by the incoherent signal-subspace method based on a small microphone array [10].The 3D structure of vehicle with size causes the problems to realize the omnidirectional SSL system because of the long and uneven propagation. In addition, the aerodynamic profile of the vehicle prevents to install the monaural and binaural localizer which use the pinna-like configuration.…”

“…A sensing technique to localize an approaching vehicle is proposed by an acoustic cue from the spatial-temporal gradient method [9]. For the sequential movement events of vehicles, robust direction-of-arrival estimation is realized by the incoherent signal-subspace method based on a small microphone array [10].…”

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

“…The FFT-based algorithm has a disadvantage in that it cannot distinguish between adjacent targets due to its low-resolution characteristics. In order to overcome this drawback of the FFT-based algorithm for FMCW radar systems, super-resolution algorithms such as the estimation of signal parameters via rotational invariance technique (ESPRIT) and multiple-signal classifier (MUSIC) were proposed because they have a significantly higher resolution compared with that of the FFT-based algorithm [23][24][25][26][27][28][29][30][31][32]. In References [23][24][25], they tried to detect DOA of adjacent multiple targets by employing MUSIC algorithms.…”