Distributed random signal detection with multibit sensor decisions

IEEE Transactions on Information Theory

Volumn 44, Issue 2, 1998, Pages 516-524

  Blum, Rick S ^a,b   Deans, Matthew C ^b,c  

^a IEEE   (United States)

^b Lehigh University   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Asymptotically optimum quantization; Decentralized detection; Distributed detection; Distributed quantization; Quantization for detection

Indexed keywords

DECISION THEORY; ERROR ANALYSIS; ITERATIVE METHODS; RANDOM PROCESSES; SENSORS; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE; STATISTICS;

DECENTRALIZED DETECTION; DISTRIBUTED DETECTION; DISTRIBUTED QUANTIZATION; MULTIBIT SENSOR DECISIONS;

SIGNAL DETECTION;

EID: 0032028274     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/18.661501     Document Type: Article

References (15)

1. R. Viswanathan and P. K. Varshney, "Distributed detection with multiple sensors - Part I: Fundamentals," Proc. IEEE, vol. 85, pp. 54-63, Jan. 1997.
2. R. S. Blum, S. A. Kassam, and H. V. Poor, "Distributed detection with multiple sensors: Part II - Advanced topics," Proc. IEEE, vol. 85, pp. 64-79, Jan. 1997.
3. P. K. Varshney, Distributed Detection and Data Fusion. New York: Springer-Verlag, 1996.
4. J. N. Tsitsiklis, "Decentralized detection," in Advances in Statistical Signal Processing - Vol. 2: Signal Detection, H. V. Poor and J. B. Thomas, Eds. Greenwich, CT: JAI, 1993.
5. V. Aalo and R. Viswanathan, "On distributed detection with correlated sensors: two examples," IEEE Trans. Aerosp. Electron. Syst., vol. 25, pp. 414-421, May 1989.
6. C. C. Lee and J. J. Chao, "Optimal local decision space partitioning for distributed detection," IEEE Trans. Aerosp. Electron. Syst., vol. 25, pp. 536-543, July 1989.
7. V. Aalo and R. Viswanathan, "Asymptotic performance of a distributed detection system in correlated Gaussian noise," IEEE Trans. Signal Processing, vol. 40, pp. 221-213, Jan. 1992.
8. M. Longo, T. D. Lookabaugh, and R. M. Gray "Quantization for decentralized hypothesis testing under communication constraints," IEEE Trans. Inform. Theory, vol. 36, pp. 241-255, Mar. 1990.
9. R. S. Blum and S. A. Kassam, "Optimum distributed detection of weak signals in dependent sensors," IEEE Trans. Inform. Theory, vol. 38, pp. 1066-1079, May 1992.
10. R. S. Blum, "Quantization in multisensor random signal detection," IEEE Trans. Inform. Theory, vol. 41, pp. 204-215, Jan. 1995.
11. C. W. Helstrom, "Gradient algorithm for quantization levels in distributed detection systems," IEEE Trans. Aerosp. Electron. Syst., vol. 31, pp. 390-398, Jan. 1995.
12. Z. Tang, K. R. Pattipati, and D. L. Kleinman, "An algorithm for determining the decision thresholds in a distributed detection problem," IEEE Trans. Syst., Man, Cybern, vol. 21, pp. 231-237, Jan 1991.
13. S. A. Kassam, Signal Detection in Non-Gaussian Noise. New York: Springer-Verlag, 1988.
14. H. V. Poor and D. Alexandrou, "A general relationship between two quantizer design criteria," IEEE Trans. Inform. Theory, vol. IT-26, pp. 210-212, Mar. 1980.
15. S. Marcos, O. Macchi, and C. Vignat, "A unified framework for gradient algorithms used for filter adaptation and neural network training," Int. J. Circuit Theory and Appl., vol. 20, no. 2, pp. 159-200, Mar. 1992.