Title :
Performance Analysis of Universal Distributed Estimation in Bandwidth-Constrained Sensor Networks
Author :
Zhang, Li ; Zhang, Xian-Da ; Gao, Qiubin
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
fDate :
6/30/1905 12:00:00 AM
Abstract :
This letter analyzes the performance of several typical one-bit universal distributed estimation schemes (DESs) in bandwidth-constrained sensor networks. We theoretically obtain the mean and mean-square error (MSE) of the DES based on binary form (BF) of the observation along with the MSE upper bound. It is proved that in some cases, the BF-based DES has larger MSE than the DES based on the complementary cumulative distribution function (CCDF) of the observation. Moreover, performance analysis is presented for the CCDF-based and BF-based DESs employing probabilistic quantization, respectively.
Keywords :
mean square error methods; parameter estimation; signal processing; wireless sensor networks; CCDF; DES; MSE; bandwidth-constrained sensor networks; complementary cumulative distribution function; mean-square error; performance analysis; probabilistic quantization; universal distributed estimation schemes; Additive noise; Bandwidth; Distribution functions; Information science; Performance analysis; Quantization; Sensor phenomena and characterization; Signal processing; Upper bound; Wireless sensor networks; Distributed estimation; distributed signal processing; quantization; sensor networks;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.923571