Distributed estimation with constant modulus signals over multiple access channels

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 2990-2993

  Tepedelenlioǧlu, Cihan ^a   Narasimhamurthy, Adarsh B ^a  

^a Arizona State University   (United States)

Author keywords

Constant modulus; Distributed estimation; Empirical characteristic function; Multiple access channel

Indexed keywords

ASYMPTOTIC VARIANCE; CONSTANT MODULI; CONSTANT MODULUS SIGNALS; DISTRIBUTED ESTIMATION; EMPIRICAL CHARACTERISTIC FUNCTION; ESTIMATION SCHEMES; MULTIPLE ACCESS CHANNELS; NOISE DISTRIBUTION; STRONG CONSISTENCY;

EID: 78049396770     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5496126     Document Type: Conference Paper

References (9)

1. J.J. Xiao, A. Ribeiro, Z.Q. Luo, and G.B. Giannakis, "Distributed compression-estimation using wireless sensor networks," IEEE Signal Processing Magazine, vol. 23, no. 4, pp. 27-41, July 2006.
2. M. Gastpar, B. Rimoldi, and M. Vetterli, "To code or not to code: Lossy source-channel communication revisited," Info. Theory, IEEE Trans. on, vol. 49, pp. 1147-1158, May 2003.
3. J.J. Xiao, S. Cui, Z.Q. Luo, and A. J. Goldsmith, "Linear coherent decentralized estimation," Signal Processing, IEEE Trans. on, vol. 56, no. 2, pp. 757-770, Feb. 2008.
4. Z.-Q. Luo, "Universal decentralized estimation in a bandwidth constrained sensor network," Info. Theory, IEEE Trans. on, vol. 51, no. 6, pp. 2210-2219, June 2005.
5. C. Tepedelenlioglu and A. B. Narasimhamurthy, "Robust distributed estimation over multiple access channels with constant modulus signaling," Signal Proc., IEEE Trans. on, (submitted).
6. A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, McGraw Hill, 2002.
7. N. G. Ushakov, Selected Topics in Characteristic Functions, VSP International Science Publishers, 1999.
8. B. Porat, Digital Processing of Random Signals: Theory and Methods, Prentice-Hall, Englewood Cliffs, NJ, 1994.
9. R. Zamir, "A proof of the Fisher information inequality via a data processing argument," Info. Theory, IEEE Trans. on, vol. 44, no. 3, pp. 1246-1250, May 1998.