Title: A collaborative channel gain and delay estimation algorithm based on dynamic state space model
Authors: Danping Wang; Yang Liu; Yanhui Wang
Addresses: School of Information Engineering, Shenyang University, Shenyang, 110044, China ' School of Information Engineering, Shenyang University, Shenyang, 110044, China ' Department of Computer information Engineering, Baoding Vocational and Technical College, Baoding, Hebei, 071051, China
Abstract: In order to overcome the serious impact of the presence of fading and sensing delay factors in the channel on the performance of spectrum sensing, a novel joint channel gain and sensing delay algorithm is proposed in this paper. A dynamic state space model is constructed to establish the relationship between the PU state, the dynamic fading channel state and the perceived delay. The channel gain can be obtained by means of hidden Markov chain and maximum a posteriori probability. Moreover, the perceived delay value can be obtained by random walk model and sequential particle filtering method. The performance evaluation performed by simulation shows that the algorithm is able to eliminate the uncertainty information in the signal, and the spectrum sensing performance and the sensing delay are significantly improved.
Keywords: spectrum sensing; joint estimation; perceptual delay; channel gain.
International Journal of Modelling, Identification and Control, 2023 Vol.42 No.4, pp.287 - 295
Received: 24 Apr 2022
Received in revised form: 23 Jun 2022
Accepted: 28 Jun 2022
Published online: 01 Jun 2023 *