Indoor Environment Blind Zone Recognition using Fractional Fourier Transform

As the blind zone phenomenon becoming more and more common in the next generation communication system, the blind zone recognition technique has gain much attention. One big challenge in blind zone recognition is the fluctuation of received signal strength (RSS) especially in indoor environment where multipath effect is severe. Previous methods using median filter are under the improper hypothesis which results in unsatisfying results. Moreover, traditional blind zone recognition methods mainly focus on outdoor environment and are with the characteristics of low efficiency, inflexibility, and high cost. In this paper, we propose a new algorithm based on fractional Fourier transform to address the RSS fluctuation and solve the problem of blind zone recognition in indoor environment. The comparison to our method and median filter method shows that our method provides much more accurate results.