A Low-communication-rate Fusion Approach Based on Censored Data
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摘要: 在多基地雷达中，该文为解决局部雷达站同融合中心之间通信带宽受限的问题，提出一种基于删失数据的分布式融合(CDDF)检测算法。在局部雷达站具有多通道接收系统的条件下，计算了杂波背景下动目标回波信号的似然比函数。各个局部雷达站根据其自身传输信道的通信限制设置局部门限，剔除低于局部门限的似然比，同时将高于局部门限的似然比向融合中心传输。基于奈曼-皮尔逊引理，融合中心根据接收到的删失数据计算全局检验统计量，并将其与全局门限进行比较获得全局判决。此外，该文推导了全局门限同虚警概率或者检测概率的闭式表达式。数值仿真表明，该算法可以在大幅降低通信率的同时获得比“或”准则更好的检测性能，并且随着通信率的增加逐渐逼近集中式(CF)融合的检测性能。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.
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CHERNYAK V. Fundamentals of Multisite Radar System: Multistatic Radars and Multiradar Systems[M]. New York: Gordon & Breach Science Publishers, 1998: 1–24. VARSHNEY P K. Distributed Detection and Data Fusion[M]. New York: Springer, 1997: 1–5. GOODMAN N A and BRUYERE D. Optimum and decentralized detection for multistatic airborne radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(2): 13–22 doi: 10.1109/TAES.2007.4285374 HE Qian, LEHMANN N H, BLUM R S, et al. MIMO radar moving target detection in homogeneous clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3): 1290–1301 doi: 10.1109/TAES.2010.5545189 ZHAO Hongyan, LIU Jun, ZHANG Zijing, et al. Linear fusion for target detection in passive multistatic radar[J]. Signal Processing, 2017, 130: 175–182 doi: 10.1016/J.SIGPRO.2016.06.024 YANG Pengfei and CHEN Biao. To listen or not: Distributed detection with asynchronous transmissions[J]. IEEE Signal Processing Letters, 2015, 22(5): 628–632 doi: 10.1109/LSP.2014.2365137 CIUONZO D and SALVO R P. Distributed detection of a non-cooperative target via generalized locally-optimum approaches[J]. Information Fusion, 2017, 36: 261–274 doi: 10.1016/J.INFFUS.2016.12.006 GAO Fei, GUO Lili, LI Hongbin, et al. Quantizer design for distributed GLRT detection of weak signal in wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2015, 14(4): 2032–2042 doi: 10.1109/TWC.2014.2379279 KASSAM S. Signal Detection in Non-Gaussian Noise[M]. New York: Springer, 1988: 97–124. ALTAY C and DELIC H. Optimal quantization intervals in distributed detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(1): 38–48 doi: 10.1109/TAES.2015.140551 RAGO C, WILLET P, and BAR-SHALOM Y. Censoring sensors: A low-communication-rate scheme for distributed detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(2): 554–568 doi: 10.1109/7.489500 APPADWEDULA S, VEERAVALLI V, and JONES D. Energy-efficient detection in sensor networks[J]. IEEE Journal on Selected Areas in Communication, 2005, 23(4): 693–702 doi: 10.1109/JSAC.2005.843536 HE Hao and VARSHNEY P K. Fusing censored dependent data for distributed detection[J]. IEEE Transactions on Signal Processing, 2015, 63(16): 4385–4395 doi: 10.1109/TSP.2015.2439231 胡勤振, 苏洪涛, 周生华, 等. 多基地雷达中双门限CFAR检测算法[J]. 电子与信息学报, 2016, 38(10): 2430–2436 doi: 10.11999/JEIT151163HU Qinzhen, SU Hongtao, ZHOU Shenghua, et al. Double threshold CFAR detection for multisite radar[J]. Journal of Electronics&Information Technology, 2016, 38(10): 2430–2436 doi: 10.11999/JEIT151163 胡勤振, 杨芊, 苏洪涛, 等. 分布式MIMO雷达双门限GLRT CFAR检测[J]. 西安电子科技大学学报, 2016, 43(6): 29–33 doi: 10.3969/J.ISSN.1001-2400.2016.04.006HU Qinzhen, YANG Qian, SU Hongtao, et al. Double-threshold GLRT CFAR detection in distributed MIMO radar[J]. Journal of Xidian University, 2016, 43(6): 29–33 doi: 10.3969/J.ISSN.1001-2400.2016.04.006 BHARGAVA R P and KHATRI C G. The distribution of product of independent beta random variables with application to multivariate analysis[J]. Annals of the Institute of Statistical Mathematics, 1981, 33(1): 287–296 doi: 10.1007/BF02480942 -
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