Publications List
  • 31-10-2017

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

    ABSTRACT Target detection is an important issue in the unattended ground sensors. In this paper, inspired by the idea of subspace-based direction of arrival 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 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 the SBTD for target detection in the wild, in which the first stage detection alg...[ Learn more ]

  • 31-10-2017

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

    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. [ Learn more ]

  • 27-10-2017

    A Practicable Method for Ferromagnetic Object Moving Direction Identification

    The direction of a moving target is an important piece of information in many wireless sensor network (WSN) applications, such as in boundary security, traffic flow control, etc. Due to its robustness, the magnetic sensor can be used to detect a passing ferromagnetic object. By using the orthogonality of two perpendicularly placed sensing units in a monomer magnetic sensor, a linear algorithm based on a magnetic dipole model to identify the ferromagnetic object's moving direction is introduced in this paper. It has been successfully applied in real WSN applications to reduce the numbers of nodes, and prolong the lifetime of the network. Both simulation and field experiments show it has strong noise immunity and more than 95% correction r...[ Learn more ]

  • 27-10-2017

    A Novel Energy-efficient Cluster Formation Strategy_ from the Perspective of Cluster Members

    ABSTRACT Traditional clustering methods mostly concentrate on how to choose nodes to serve as cluster heads. As for cluster formation, most papers assume that a normal node joins a nearest cluster head. However, this is not an optimal solution to form a good cluster. It is shown in this paper that a cluster member may not response to the advertisement of the closest cluster head but join a farther cluster head in order to achieve better energy efficiency or longer co-alive lifespan. Based on our new observation, a novel cluster formation strategy is proposed. Besides, simulation results also verify the correctness of our analysis.[ Learn more ]

  • 27-10-2017

    A classification method for moving targets in the wild based on microphone array and linear sparse auto-encoder

    Moving target classification is an important issue in wireless sensors. The wild environment makes it a difficult problem for the acoustic signals. In this paper, a new classification method for moving targets in the wild is proposed based on microphone array and linear sparse auto-encoder (LSAE). Firstly, the acoustic signals of moving targets are enhanced by delay-and-sum (DS) beamformer in the narrawband way for the simplicity. [ Learn more ]