&lt;title&gt;An integrated modular power-aware microsensor architecture and application to unattended acoustic vehicle tracking&lt;/title&gt;

Bajura, Michael; Schott, Brian; Flidr, Jaroslav; Czarnaski, Joe; Worth, Carl; Tho, Tam; Wang, Li

doi:10.1117/12.606658

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…However, many factors increase the difficulty of designing an automatic bearing tracking system. These factors include the limited processing and power resources, small aperture, and the harsh work environment [ 2 , 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Design of a Direction-of-Arrival Estimation Method Used for an Automatic Bearing Tracking System

Guo

Liu

Huang

et al. 2016

Sensors

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In this paper, we introduce a sub-band direction-of-arrival (DOA) estimation method suitable for employment within an automatic bearing tracking system. Inspired by the magnitude-squared coherence (MSC), we extend the MSC to the sub-band and propose the sub-band magnitude-squared coherence (SMSC) to measure the coherence between the frequency sub-bands of wideband signals. Then, we design a sub-band DOA estimation method which chooses a sub-band from the wideband signals by SMSC for the bearing tracking system. The simulations demonstrate that the sub-band method has a good tradeoff between the wideband methods and narrowband methods in terms of the estimation accuracy, spatial resolution, and computational cost. The proposed method was also tested in the field environment with the bearing tracking system, which also showed a good performance.

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Section: Introductionmentioning

confidence: 99%

Design of a Direction-of-Arrival Estimation Method Used for an Automatic Bearing Tracking System

Guo

Liu

Huang

et al. 2016

Sensors

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A Two-Stage Detection Method for Moving Targets in the Wild Based on Microphone Array

et al. 2015

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Target detection is an important issue in the unattended ground sensors (UGS). In this paper, inspired by the idea of subspace based direction of arrival (DOA) estimation algorithms, a new target detection algorithm called subspace based target detection (SBTD) is proposed to detect moving targets. The SBTD employs the SNR of the acoustic signals to decide whether moving targets are exiting or not. Although the SBTD has a good detection performance, its cost maybe a little high for unattended sensors with low-cost hardware and long-term monitoring. To relieve the cost, we propose the hierarchical detection scheme and develop a two-stage detection method based on SBTD for target detection in the wild, in which the first stage detection algorithm is chosen from current detection algorithms while the second stage detection algorithm employs the SBTD. Experiments are conducted to verify the proposed detection method through acoustic signals gathered by MEMS microphone array in the wild. Results show that the detector constructed by our two-stage detection method can not only estimate the SNR of the acoustic signals, but also can reduce the false alarm rate significantly with the detection rate almost unchanged in comparison with the detector chosen by its first stage detection algorithm. The results indicate that a better detection performance is achieved in terms of the receiver operator characteristic (ROC) curves.

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<title>An integrated modular power-aware microsensor architecture and application to unattended acoustic vehicle tracking</title>

Cited by 2 publications

References 7 publications

Design of a Direction-of-Arrival Estimation Method Used for an Automatic Bearing Tracking System

Design of a Direction-of-Arrival Estimation Method Used for an Automatic Bearing Tracking System

A Two-Stage Detection Method for Moving Targets in the Wild Based on Microphone Array

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