Abstract
In this letter, we investigate the problem of power allocation in wireless sensor networks, where transceiver hardware impairments (HWIs) at both the sensors and fusion center (FC) are considered. In addition, the received signal at FC is corrupted with the additive non-Gaussian noise, which is characterized by a Gaussian mixture distribution. For this purpose, the Bhattacharyya distance is analyzed as the objective function for formulating the transmit power allocation. Then, we obtain an approximate closed-form expression for the Bhattacharyya distance between two Gaussian mixture distributions. Moreover, the empirical impulsive noise model, i.e., the Bernoulli-Gaussian and the Poisson-Gaussian models, are exploited for the simulation, and the results are compared with each other.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
