Abstract
The wireless networks based on the IEEE 802.15.4a CSS (chirp-spread-spectrum) PHY are expected to provide accurate ranging. However, the problem is that the measured distances are not only noisy but also biased, which becomes more serious in non-line-of-sight situation. To improve the accuracy of ranging, two methods are used to estimate the positive bias, including state augmentation technique and separate-bias estimation. Then the bias estimation can be used to correct the measured distance. Experiments conducted with Nanotron CSS wireless nodes in indoor-environment validate the algorithm actually. The effectiveness and features of the filtering algorithms are analyzed with the support of the experiment results.
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Zheng, D., Liang, J. (2013). Filtering Algorithms for Chirp-Spread-Spectrum Ranging. In: Wang, R., Xiao, F. (eds) Advances in Wireless Sensor Networks. CWSN 2012. Communications in Computer and Information Science, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36252-1_66
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DOI: https://doi.org/10.1007/978-3-642-36252-1_66
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