Multi-path Channel Estimation Using Empirical Likelihood Algorithm with Non-Gaussian Noise
In this paper a novel algorithm, empirical likelihood, is employed to estimate the channel taps of multi-path channel under Non-Gaussian noise. To illustrate, multi-path channel is modeled as a FIR filter and non-Gaussian noise is taken as mixed Additive White Gaussian and impulse noise for simplicity. Thus the transmitted signal, being impacted by the multi-path fading effect and being disturbed by the non-Gaussian noise, would be sampled to form the received signal. And simulations show that the proposed algorithm is capable of obtaining good MSE and bit error rate BER performances.
KeywordsMulti-path channel estimation Non-Gaussian noise Empirical likelihood
This work was supported by the National Natural Science Foundation of China (61271180), Major National Science and Technology Projects (2012zx03001022) and Special Foundation for State Internet of Things Program (Radio frequency and communication security testing service platform of Internet of things).
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