A Fast Analytic Multiple-Sources Angle-of-Arrival Estimation Algorithm for Automotive MIMO Radars

Cai, Xiuzhang; Sarabandi, Kamal

doi:10.1109/ieeeconf35879.2020.9330287

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…This study handles the case where only a single sound source exists. In practice, there can be multiple signal sources [22][23][24]. Under the assumption that sound sources rarely overlap in the time-frequency domain, one can apply the proposed AOA scheme for estimating the AOA of every sound source.…”

Section: Discussionmentioning

confidence: 99%

“…Once the condition number of G in ( 21) is less than a certain threshold, Thres, and ( 15) is met, we then estimate ϕ using the proposed AOA estimator (23). Note that we do not have to access either r or C, since (c(ϕ), s(ϕ)) T is derived using (23). Recall that using the phase at f i (i ∈ {1, 2, 3}), we can compute the signal delay D i .…”

Section: Aoa Estimator With a General Configuration Composed Of Three...mentioning

confidence: 99%

“…The sampling frequency is f s = 500, 000 Hz, and the signal length is set as only 50 samples. Once the condition number of G in ( 21) is less than Thres = 2 and ( 15) is met, then we estimate the AOA ϕ using the proposed AOA estimator (23).…”

Section: Matlab Simulationsmentioning

confidence: 99%

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Angle of Arrival Estimator Utilizing the Minimum Number of Omnidirectional Microphones

Kim

2024

JMSE

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In sound signal processing, angle of arrival indicates the direction from which a propagating sound signal arrives at a point where multiple omnidirectional microphones are positioned. Considering a small underwater platform (e.g., underwater unmanned vehicle), this article addresses how to estimate a non-cooperative target’s signal direction utilizing the minimum number of omnidirectional microphones. It is desirable to use the minimum number of microphones, since one can reduce the cost and size of the platform by using small number of omnidirectional microphones. Suppose that each microphone measures a real-valued sound signal whose speed and frequency information are not known in advance. Since two microphones cannot determine a unique AOA solution, this study presents how to estimate the angle of arrival using a general configuration composed of three omnidirectional microphones. The effectiveness of the proposed angle of arrival estimator utilizing only three microphones is demonstrated by comparing it with the state-of-the-art estimation algorithm through computer simulations.

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Section: Discussionmentioning

confidence: 99%

Section: Aoa Estimator With a General Configuration Composed Of Three...mentioning

confidence: 99%

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Angle of Arrival Estimator Utilizing the Minimum Number of Omnidirectional Microphones

Kim

2024

JMSE

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Mainlobe jamming suppression via improved BSS method for rotated array radar

Zhang

Biao

et al. 2022

J. of Syst. Eng. Electron.

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This study deals with the problem of mainlobe jamming suppression for rotated array radar. The interference becomes spatially nonstationary while the radar array rotates, which causes the mismatch between the weight and the snapshots and thus the loss of target signal to noise ratio (SNR) of pulse compression. In this paper, we explore the spatial divergence of interference sources and consider the rotated array radar anti-mainlobe jamming problem as a generalized rotated array mixed signal (RAMS) model firstly. Then the corresponding algorithm improved blind source separation (BSS) using the frequency domain of robust principal component analysis (FD-RPCA-BSS) is proposed based on the established rotating model. It can eliminate the influence of the rotating parts and address the problem of loss of SNR . Finally, the measured peakto-average power ratio (PAPR) of each separated channel is performed to identify the target echo channel among the separated channels. Simulation results show that the proposed method is practically feasible and can suppress the mainlobe jamming with lower loss of SNR.

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A Fast Analytic Multiple-Sources Angle-of-Arrival Estimation Algorithm for Automotive MIMO Radars

Cited by 2 publications

References 5 publications

Angle of Arrival Estimator Utilizing the Minimum Number of Omnidirectional Microphones

Angle of Arrival Estimator Utilizing the Minimum Number of Omnidirectional Microphones

Mainlobe jamming suppression via improved BSS method for rotated array radar

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