New Location Algorithm with Primary User Based on Scatter Information in Cognitive Radio

In cognitive radio network, if cognitive user conflicts with primary user during the spectrum sensing, it should concede avoiding the effect of communication with primary user. The paper initiates a new sensing method using scatter information around mobile users to locate primary user. The multi-group TOA (Time of Arrival) and AOA (Angle of Arrival) provided by two base stations are measured based on the single reflect statistics channel model under NLOS environment. An innovative location algorithm, proposed in this paper, which combines neural network with the weighted centroid algorithm to achieve primary user’s location. The proposed algorithm can make great improvement on the location accuracy by effectively mitigating NLOS error in cognitive radio networks. Another contribution of the proposed algorithm is the benefit to the cognitive performance which can be characterized by the probability of spectrum coexistence. The results under different simulation circumstances illustrate that the current location algorithm improves detection performance and location performance to obtain more exact probability of spectrum coexistence.