Double Threshold CFAR Detection for Multisite Radar

HU Qinzhen; SU Hongtao; ZHOU Shenghua; LIU Ziwei

doi:10.11999/JEIT151163

Volume 38 Issue 10

Oct. 2016

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HU Qinzhen, SU Hongtao, ZHOU Shenghua, LIU Ziwei. Double Threshold CFAR Detection for Multisite Radar[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2430-2436. doi: 10.11999/JEIT151163

Citation:

HU Qinzhen, SU Hongtao, ZHOU Shenghua, LIU Ziwei. Double Threshold CFAR Detection for Multisite Radar[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2430-2436. doi: 10.11999/JEIT151163

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Double Threshold CFAR Detection for Multisite Radar

doi: 10.11999/JEIT151163 cstr: 32379.14.JEIT151163

Funds:

The National Natural Science Foundation of China (61372134, 61401329)

Received Date: 2015-10-21
Rev Recd Date: 2016-07-08
Publish Date: 2016-10-19

Abstract

Abstract

For multisite radar system, to solve the data transmission rate problem, two kinds of Double Threshold Constant False Alarm Rate (DT-CFAR) detectors, the DT Generalized Likelihood Ratio Test (DT-GLRT) detector and the DT Adaptive Matched Filter (DT-AMF) detector, are proposed based on the GLRT and the AMF algorithms. Fisrt, the local test statistics which exceed the first threshold are transferred to the fusion center. Then, the global test statistic is obtained from the local test statistics and the final decision is made compared to the second threshold in the fusion center. The closed form expression for probabilities of false alarm and detection of the DT-AMF detector are also given when the Signal to Clutter plus Noise Ratios (SCNRs) are identical in the spatial diversity channels. Simulation results illustrate that the DT-CFAR detectors can maintain a good performance with a low communication rate.
- Radar,
- Double hreshold detection,
- Constant False Alarm Rate (CFAR),
- Generalized Likelihood Ratio Test (GLRT),
- Adaptive Matched Filter (AMF)

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References(19)

References

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