Threshold optimization algorithm for weak signal in distributed-sensor fusion system

  • Authors:

  • Weixian Liu;Yilong Lu;Jeffrey S. Fu

  • Affiliations:

  • School of Electrical and Electronic Engineering, Microelectronics Center, Nanyang Technological University, South Spine Block 51, 639798 Singapore, Singapore;School of Electrical and Electronic Engineering, Microelectronics Center, Nanyang Technological University, South Spine Block 51, 639798 Singapore, Singapore;School of Electrical and Electronic Engineering, Microelectronics Center, Nanyang Technological University, South Spine Block 51, 639798 Singapore, Singapore

  • Venue:
  • Signal Processing
  • Year:
  • 2002

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Abstract

Distributed order statistics constant false alarm rate (OS-CFAR) detection techniques are important for nonstationary observation with varying weak narrowband random signals. However, it is very difficult to choose system parameters to obtain optimal threshold values at the fusion center because of the nonlinear property of distributed OS-CFAR detection system. This paper provides a novel solution based on an effective and flexible genetic algorithm. Using this approach, all system parameters are directly coded in decimal chromosomes and they can be optimized simultaneously. Furthermore, we also derive the more general model by implementing the K fusion rules. The simulation results show that applying the proposed approach one can achieve comparable performances with the reported methods and results.