Pilot Density Optimization of Simultaneous Energy and Signal Transmission System for Underwater Equipment Based on Channel Estimation

This paper mainly studies the channel characteristics of the simultaneous power line transmission system of underwater equipment, and analyzes the pilot density optimization algorithm used for channel data transmission based on channel estimation, and compares and studies whether the optimization algorithm can optimize the transmission rate of the system in different channel estimation methods. For the analysis of channel characteristics, firstly, the attenuation characteristics of the power line suitable for simultaneous energy and signal transmission in the underwater environment were simulated, and then the load impedance characteristics were added to the circuit for channel modeling. For the pilot density optimization part, according to the pilot classification of IEEE 1901.1 physical layer standard, the blind channel estimation method, the least square method, and the minimum mean square error method are used to estimate the channel, and the channel phase change metric is calculated according to the estimated value, and the pilot level is dynamically adjusted according to the metric threshold table to achieve the most suitable pilot density. Finally, compared with several channel estimation methods, the pilot density optimization algorithm in the channel environment of this paper can improve the data transmission rate of the system under the premise of ensuring a low bit error rate of the system.