A Low-communication-rate Fusion Approach Based on Censored Data

Ding CAO; Shenghua ZHOU; Hongwei LIU; Chang GAO; Zhiqiang SHAO

doi:10.11999/JEIT180039

Volume 40 Issue 12

Nov. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(12): 2826-2833

Ding CAO, Shenghua ZHOU, Hongwei LIU, Chang GAO, Zhiqiang SHAO. A Low-communication-rate Fusion Approach Based on Censored Data[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2826-2833. doi: 10.11999/JEIT180039

Citation:

Ding CAO, Shenghua ZHOU, Hongwei LIU, Chang GAO, Zhiqiang SHAO. A Low-communication-rate Fusion Approach Based on Censored Data[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2826-2833. doi: 10.11999/JEIT180039

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A Low-communication-rate Fusion Approach Based on Censored Data

doi: 10.11999/JEIT180039

1.
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61372134, 61401329, 61501351), The National Science Fund for Distinguished Young Scholars (61525105)

Received Date: 2018-01-10
Rev Recd Date: 2018-09-20

Available Online: 2018-09-27

Publish Date: 2018-12-01

Abstract

Abstract

In multistatic radar, a Censored Data-Based Decentralized Fusion (CDDF) is proposed to address the issue of fusing local observations with communication constraints. The local likelihood ratio is calculated based on the observation of moving target immersed in clutter, where the local radar site possesses a coherent multi-channel array. Each local radar site transmits if and only if their observations’ likelihood ratios exceed the local thresholds, which determine the communication rates. By virtue of the Neyman-Pearson lemma, the global test statistic can be achieved by combining received censored data. The fusion center makes a global decision through comparing the global test statistic with a global threshold. Besides, the closed-form expression of probability of false alarm or probability of detection is also derived in this paper. Numerical simulation shows that the CDDF has better performance than " OR” rule, while approaching the performance of Centralized Fusion (CF) with the increase of the communication rate.
- Multisite radar system,
- Neyman-Pearson lemma,
- Moving target detection,
- Low communication rate,
- Censored data

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References(16)

References

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