Efficient Joint Spectrum Sensing Algorithm Under Time-Variant Flat Fading Channel

In this paper, we propose a new spectrum sensing method which could detect the time-variant fading channel gain and primary user state jointly. This joint estimation algorithm is based on the maximum a posteriori probability criteria and the particle filtering technology. Experimental simulations verify the superior performance of our presented joint detection scheme over traditional detection methods such as matched filtering detection and energy detection under time-variant flat fading channel.

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