Abstract
To comply with system requirements (e.g., power consumption, bandwidth) in many wireless sensor networks, the signals are roughly quantized. In this paper we address the case in which different sensors in the network sense autonomously a physical parameter field and are quantized in different quantization resolution. We present the Maximum Likelihood estimator (MLE) for general parameter estimation in such a case, and we study in details the special case of linear parameter estimation, for which we compare the MLE to the Naive MLE (NMLE) which disregards the quantization. While being asymptotically optimal, the MLE is a complex processor. Therefore, we suggest a sub-optimal estimator, simpler than the MLE, whose performance is close to the optimal one, being better than that of the NMLE. Simulation results demonstrate the operation of the different estimators in various conditions.
| Original language | English |
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| Title of host publication | 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479959877 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel Duration: 3 Dec 2014 → 5 Dec 2014 |
Publication series
| Name | 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 |
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Conference
| Conference | 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 |
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| Country/Territory | Israel |
| City | Eilat |
| Period | 3/12/14 → 5/12/14 |
Bibliographical note
Publisher Copyright:© Copyright 2015 IEEE All rights reserved.
Keywords
- Parameter estimation
- Physical field
- Quantization resolution
- Signal processing
- Wireless sensor network