Radio location using pattern matching techniques in fixed wireless communication networks

In this paper we propose a practical radio location scheme for fixed wireless networks, relying on only one base station. We exploit the already available channel impulse response (CIR) of fixed wireless terminals as a location fingerprint in wireless localisation. We show and interpret why the localisation accuracy achieved by the support vector machine (SVM) has no significant improvement compared to general instance-based learning algorithms.