Adaptive interacting multiple model-Kalman filter for multitaper spectrum sensing in cognitive radio

This Letter addresses the necessity for adaptive threshold (AT) and optimum frame duration (OFD) in spectrum sensing (SS). An adaptation paradigm of Kalman filter incorporated with interacting multiple model to interrogate the channel state information and adjusting the AT and OFD algorithms is proposed. The robust multitaper method is embraced for spectrum leakage control. The analysis of augmenting these algorithms is given and corroborated with simulations, which show their perks for efficient SS applications.