A Study on Interference Detection for UWB MB-OFDM systems

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I investigate a new interference detection scheme for Ultra Wide Band (UWB) systems. The UWB systems make use of huge bandwidth of low spectrum density and its band has an overlap with the other wireless communication systems. It is necessary to detect the other systems and to avoid interference to them. The technique is called DAA (Detect And Avoid). The DAA at the UWB device needs not only to detect if the other systems exist but also to estimate the signal power from them. I propose a new scheme to estimate the primary signal power to noise ratio. In this scheme, we assume some interference models in the frequency domain, estimate the parameters of the interference based on the maximum likelihood criterion and select the most preferable model based on the Akaike information criterion. We can carry out the proposed method by reasonable computational complexity. I evaluate detection and estimation performances by computer simulations and show an availability of the proposed method.