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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.15 No.1
- 발행연도
- 2017.3
- 수록면
- 7 - 13 (7page)
이용수
초록· 키워드
오류제보하기
We consider a distributed estimation where many nodes remotely placed at known locations collect the measurements of the parameter of interest, quantize these measurements, and transmit the quantized data to a fusion node; this fusion node performs the parameter estimation. Noting that quantizers at nodes should operate in a non-regular framework where multiple codewords or quantization partitions can be mapped from a single measurement to improve the system performance, we propose a low-weight estimation algorithm that finds the most feasible combination of codewords. This combination is found by computing the weighted sum of the possible combinations whose weights are obtained by counting their occurrence in a learning process. Otherwise, tremendous complexity will be inevitable due to multiple codewords or partitions interpreted from non-regular quantized data. We conduct extensive experiments to demonstrate that the proposed algorithm provides a statistically significant performance gain with low complexity as compared to typical estimation techniques.
목차
Abstract
I. INTRODUCTION
II. PROBLEM FORMULATION
III. NON-REGULAR QUANTIZATION AND PROPOSED ESTIMATION ALGORITHM
IV. APPLICATION OF DESIGN ALGORITHM
V. SIMULATION RESULTS
VI. CONCLUSION
REFERENCES
참고문헌 (14)
참고문헌 신청
M. Longo, T. D. Lookabaugh, and R. M. Gray, “Quantization for decentralized hypothesis testing under communication constraints,” IEEE Transactions on Information Theory, vol. 36, no. 2, pp. 241- 255, 1990.
W. Lam and A. Reibman, “Design of quantizers for decentralized estimation systems,” IEEE Transactions on Communications, vol. 41, no. 11, pp. 1602-1605, 1993.
Y. H. Kim and A. Ortega, “Quantizer design for source localization in sensor networks,” in Proceedings of IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Philadelphia, PA, 2005.
Y. H. Kim and A. Ortega, “Quantizer design for energy-based source localization in sensor networks,” IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5577?5588, 2011.
Y. H. Kim, “Functional quantizer design for source localization in sensor networks,” EURASIP Journal on Advances in Signal Processing, vol. 2013, article no. 151, pp. 1-10, 2013.
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