Abstract
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.
Highlights
The automatic tracking of vehicles is an important task for the wireless sensor network (WSN), especially for the unattended ground sensors (UGS)
We propose a DOA estimation method deployed in an automatic bearing tracking system
We firstly extend the magnitude-squared coherence (MSC) to the sub-band and present the sub-band magnitude-squared coherence (SMSC) to measure the coherence between frequency sub-bands
Summary
The automatic tracking of vehicles is an important task for the wireless sensor network (WSN), especially for the unattended ground sensors (UGS). We mainly focus on the design of the DOA estimation method suited to this automatic bearing tracking system. We design a sub-band DOA estimation method for the vehicle bearing tracking of the wireless sensors with the help of SMSC. As the final CM of signals will not be attained in both the incoherent wideband methods and the sub-band method proposed in [27], these methods are not desirable for the this detection scheme Both simulations and field experiments were conducted to validate the designed sub-band method. Design a sub-band DOA estimation method suitable for the bearing tracking system.
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