Performance Analysis of Generalized Order Statistic Cell Averaging CFAR Detector with Noncoherent Integration

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概要

• 論文の詳細を見る

• We propose a Generalized Order Statistic Cell Averaging(GOSCA)CFAR detector. The weighted sums of the order statistics in the leading and lagging reference wihdows are utilized for the background level estimate. The estimate is obtained by averaging the weighted sums. By changing the weighting values, various CFAR detectors are obtained. The main advantage of the proposed GOSCA CFAR detector over the GOS CFAR detector[4]is to reduce a computational time which is critical factor for the real time operation. We also derive unified formulas of the GOSCA CFAR detector under the noncoherent integration scheme. For Swerling target cases, performances of various CFAR detectors implemented using the GOSCA CFAR detector are derived are compared in homogeneous environment, and in the case of multiple targets and clutter edges situations.

• 社団法人電子情報通信学会の論文
• 1998-06-25

著者

• Kim Hyung-myung

  The Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology

• Kim Hyung-myung

  The Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology(kaist)

• Jung Kyung-tae

  The Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology(kaist)

関連論文

• Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean (Special Issue on Personal Communications)
• Performance Analysis of Generalized Order Statistic Cell Averaging CFAR Detector with Noncoherent Integration
• Adaptive Decoding Scheme for Concatenated Codes in Frequency-Hopped Spread-Spectrum Communications with a Pulse-Burst Jamming

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