Simple and Robust RSSI Estimation Using M-Estimator

Abstract:

Accurate estimation of the received signal strength indicator (RSSI) from a set of sequentially measured ones is essential for a number of practical applications including link quality evaluation for sensor network routing, indoor wireless localization and more recently, handover in health monitoring systems. This paper develops a simple and robust RSSI estimation algorithm that can effectively mitigate the magnitude variation in the RSSI measurements due to the combined effects of fast fading and non-line-of-sight (NLOS) signal propagation. The new method is based on the robust M-estimator and we propose a simple approach that requires bisection search only to obtain the robust RSSI estimate. Computer simulations corroborate the validity of the theoretical developments and demonstrate the superior performance of the proposed technique over commonly adopted RSSI estimation methods including the simple moving average, the discrete Kalman filter and the exponential smoothing.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3946-3951
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3946
• Online since: September 2013
• Authors: Quan Zheng Zhu, Le Yang, Wei Li
• Keywords: Bisection Search, M-Estimator, Mixture Gaussian Noise, Robust Estimation, RSSI

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