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| A Method of Determining Detection Threshold for Bayesian Track-before-detection in White Complex Gaussian Noise |
| Xia Shuang-zhi Dai Feng-zhou Liu Hong-wei |
| National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China |
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Abstract In order to set the detection threshold in real time according to the demanded false alarm probability for Bayesian track-before-detect under Neyman-Pearson criterion, this paper derives the closed-form solution of the detection threshold in white complex Gaussian noise. For the Bayesian track-before-detect, this paper starts from the likelihood ratio testing form, derives the relationship between the false alarm probability and the detection threshold in detail, and obtains the closed-form solution of the detection threshold in white complex Gaussian noise. The simulation results show that the detection threshold can be ascertained in real time for Bayesian track-before-detect according to the false alarm probability in demand using the presented approach.
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Received: 02 July 2012
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Corresponding Authors:
Xia Shuang-zhi
E-mail: hbxszd2000@163.com
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2013, Vol. 35 
