Cooperative Spectrum Sensing Using Dual Nonparametric Cumulative Sum Algorithm.

For the problem of reducing the detection delay of spectrum sensing in cognitive radio (CR) networks, an improved CSS approach based on non-parametric cumulative sum is proposed. In local spectrum sensing, the CR users uses the nonparametric CUSUM to process the energy observation data for the 1-bit results which are transmitted to fusion center. In fusion center, the 1-bit results are fused under the disturb of noise. To reduce the detection delay, fusion center uses the nonparametric CUSUM algorithm to accumulate the decision statistics until the primary signal is found. The simulation shows that the proposed approach has less detection delay relative to the conventional nonparametric CSS approaches while maintaining the false alarm probability at 10%.