Distributed detection with multiple sensors I. Advanced topics

Following the foundational work that established basic ideas for optimum distributed defection schemes using multiple sensors (as reviewed in Part I of this two-part review), further work on distributed detection has developed many useful and interesting extensions of the basic concepts. These more recent developments parallel those that arose from the early work on centralized, classical signal detection, resulting in new ideas of asymptotically optimum nonparametric, robust, and sequential centralized detection. Recent developments on these topics in the setting of distributed signal detection are reviewed in the present paper. Results in these directions are important in practice because they allow cases of modeling uncertainty to be addressed, and they provide more efficient detection schemes by optimizing more general performance criteria.

[1]  D. Middleton.  An Introduction to Statistical Communication Theory , 1960 .

[2]  Alʹbert Nikolaevich Shiri︠a︡ev,et al.  Optimal stopping rules , 1977 .

[3]  R. Viswanathan,et al.  An introduction to statistical signal processing with applications , 1979 .

[4]  Demosthenis Teneketzis.  The decentralized quickest detection problem , 1982, 1982 21st IEEE Conference on Decision and Control.

[5]  Luigi Paura,et al.  Optimum and Suboptimum Space-Diversity Detection of Weak Signals in Non-Gaussian Noise , 1984, IEEE Trans. Commun..

[6]  S.A. Kassam,et al.  Robust techniques for signal processing: A survey , 1985, Proceedings of the IEEE.

[7]  Pramod K. Varshney,et al.  DISTRIBUTED DETECTION OF SIGNALS PERTURBED BY RANDOM CHANNELS. , 1986 .

[8]  H. Vincent Poor,et al.  Robustness in Signal Detection , 1986 .

[9]  A. LaVigna,et al.  A CONTINUOUS-TIME DISTRIBUTED VERSION OF WALD'S SEQUENTIAL HYPOTHESIS TESTING PROBLEM , 1986 .

[10]  J. Tsitsiklis.  On threshold rules in decentralized detection , 1986, 1986 25th IEEE Conference on Decision and Control.

[11]  S. Kassam.  Nonparametric Hard Limiting and Sign Detection of Narrow-Band Deterministic and Random Signals , 1987 .

[12]  Yu-Chi Ho,et al.  The Decentralized Wald Problem , 1987, Inf. Comput..

[13]  S. Kassam.  Signal Detection in Non-Gaussian Noise , 1987 .

[14]  P. Varshney,et al.  A simple multi-sensor sequential detection procedure , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[15]  Y. Chau,et al.  Distributed detection of weak signals from multiple sensors with correlated observations , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[16]  Saleem A. Kassam,et al.  Analysis of CFAR processors in homogeneous background , 1988 .

[17]  R. Viswanathan,et al.  Distributed detection of a signal in generalized Gaussian noise , 1989, IEEE Trans. Acoust. Speech Signal Process..

[18]  Y. Chau,et al.  Asymptotically optimal quantization and fusion in multiple sensor systems , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[19]  P. Papantoni-Kazakos,et al.  Detection and Estimation , 1989 .

[20]  S. D. Himonas,et al.  On CFAR detection of correlated radar signals , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[21]  M. Barkat,et al.  Decentralized CFAR signal detection , 1989 .

[22]  Ian B. Rhodes,et al.  Decentralized sequential detection , 1989, IEEE Trans. Inf. Theory.

[23]  Amy R. Reibman,et al.  Optimal fault-tolerant signal detection , 1990, IEEE Trans. Acoust. Speech Signal Process..

[24]  D. Kazakos,et al.  Asymptotic performance of a class of multisensor memoryless detectors , 1990, 29th IEEE Conference on Decision and Control.

[25]  Evaggelos Geraniotis,et al.  Robust data fusion for multisensor detection systems , 1990, IEEE Trans. Inf. Theory.

[26]  P. Varshney,et al.  Some results on distributed nonparametric detection , 1990, 29th IEEE Conference on Decision and Control.

[27]  Amy R. Reibman,et al.  Optimal design and performance of distributed signal detection systems with faults , 1990, IEEE Trans. Acoust. Speech Signal Process..

[28]  S. D. Himonas,et al.  A distributed CFAR processor with data fusion for correlated targets in homogeneous clutter , 1990, IEEE International Conference on Radar.

[29]  Pramod K. Varshney,et al.  Adaptive cell-averaging CFAR detection in distributed sensor networks , 1991 .

[30]  Iickho Song,et al.  Locally optimum rank detection of correlated random signals in additive noise , 1992, IEEE Trans. Inf. Theory.

[31]  Venugopal V. Veeravalli.  Comments on "Decentralized sequential detection , 1992 .

[32]  A. Elias-Fuste,et al.  CFAR data fusion center with inhomogeneous receivers , 1992 .

[33]  Lei Zhang,et al.  Distributed decision fusion in the presence of networking delays and channel errors , 1992, Inf. Sci..

[34]  H. Vincent Poor,et al.  Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test , 1992, 1992 American Control Conference.

[35]  Rick S. Blum,et al.  Optimum distributed detection of weak signals in dependent sensors , 1992, IEEE Trans. Inf. Theory.

[36]  Stella N. Batalama,et al.  Feedforward neural structures in binary hypothesis testing , 1993, IEEE Trans. Commun..

[37]  Hakan Deliç,et al.  Robust decentralized detection by asymptotically many sensors , 1993, Signal Process..

[38]  Marco Lops,et al.  Adaptive Os Local Detection for Data Fusion , 1993, Proceedings. IEEE International Symposium on Information Theory.

[39]  H. Vincent Poor,et al.  Decentralized sequential detection with sensors performing sequential tests , 1994, Math. Control. Signals Syst..

[40]  Rick S. Blum.  Locally optimum distributed detection of dependent random signals based on ranks , 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

[41]  H. Vincent Poor,et al.  An introduction to signal detection and estimation (2nd ed.) , 1994 .

[42]  Moshe Kam,et al.  On-line estimation of probabilities for distributed bayesian detection , 1994, Autom..

[43]  D. Kazakos,et al.  On-Line Threshold Learning for Neyman-Pearson Distributed Detection , 1994, IEEE Trans. Syst. Man Cybern. Syst..

[44]  H. Vincent Poor,et al.  Minimax robust decentralized detection , 1994, IEEE Trans. Inf. Theory.

[45]  Moshe Kam,et al.  Asynchronous distributed detection , 1994 .

[46]  Hakan Deliç,et al.  Fundamental structures and asymptotic performance criteria in decentralized binary hypothesis testing , 1995, IEEE Trans. Commun..

[47]  Emad K. Al-Hussaini,et al.  Decentralized CFAR signal detection , 1995, Signal Process..

[48]  Rick S. Blum,et al.  Distributed cell-averaging CFAR detection in dependent sensors , 1995, IEEE Trans. Inf. Theory.

[49]  Rick S. Blum,et al.  On the asymptotic relative efficiency of distributed detection schemes , 1995, IEEE Trans. Inf. Theory.

[50]  Dimitris A. Pados,et al.  Distributed binary hypothesis testing with feedback , 1995, IEEE Trans. Syst. Man Cybern..

[51]  Rick S. Blum,et al.  Optimum distributed constant false alarm rate detection of weak signals , 1995 .

[52]  C. H. Gowda,et al.  Robustness of decentralized tests with {varepsilon}-contamination prior , 1995, IEEE Trans. Inf. Theory.

[53]  Rick S. Blum.  Distributed detection of narrowband signals , 1995, IEEE Trans. Inf. Theory.

[54]  Jerry D. Gibson,et al.  Introduction to Nonparametric Detection with Applications , 1995 .

[55]  Stelios C. A. Thomopoulos,et al.  Dignet: an unsupervised-learning clustering algorithm for clustering and data fusion , 1995 .

[56]  S. Schwartz,et al.  Quickest detection for sequential decentralized decision systems , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[57]  P. Varshney,et al.  Distributed CFAR detection in homogeneous and nonhomogeneous backgrounds , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[58]  Y. Bar-Shalom,et al.  Censoring sensors: a low-communication-rate scheme for distributed detection , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[59]  R.S. Blum,et al.  Threshold optimization for distributed order-statistic CFAR signal detection , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[60]  N. Ansari,et al.  Adaptive fusion by reinforcement learning for distributed detection systems , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[61]  Rick S. Blum.  Necessary conditions for optimum distributed sensor detectors under the Neyman-Pearson criterion , 1996, IEEE Trans. Inf. Theory.

[62]  Rick S. Blum.  Locally optimum distributed detection of correlated random signals based on ranks , 1996, IEEE Trans. Inf. Theory.

[63]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.