Channel Estimation Algorithm Of Multiple Mobile Robots Based On Lte System

With the rapid development of the robot technology, different types of robots are gradually applied in various fields. More complex problems can be solved by Multi-robot system. Multiple mobile robot system is considered as a branch of robot technology, with increasing application prospect. However, less bottom communication technology problems are involved in the research of the mobile robot system which mostly focuses on high-level coordination field.Therefore, a preliminary study of the mobile robot system of wireless communication channel estimation algorithm for multiple mobile robots in LTE system is described in this paper.Firstly, the mobile robot wireless communication system is introduced in this paper, mainly including mobile robot communication system characteristics, topology structure, basic communication mechanism, communication mode, communication model, and the existing wireless communication technology.Then, the wireless communication technology-OFDM (orthogonal frequency division multiplexing) of LTE system is introduced in this paper. And system model design and simulation is completed using this technology.Next, according to the characteristics of mobile robot wireless communication system, the mobile communication environment is mainly studied in this paper. The channel modeling of mobile robot wireless communication channel and simulation realization is also completed.Finally, in the classical channel estimation algorithm part, the LS (least square) algorithm and LMMSE (linear minimum mean square error) algorithm which have been in common use for OFDM system, are studied in this paper. And the performance is analyzed in simulation. As the sparse degree in the time domain and frequency domain are analysized in the mobile robot wireless communication channel, a channel estimation algorithm based on compressed sensing is adopted in this paper. The OMP (orthogonal matching pursuit) reconstruction algorithm, SAMP (adaptive matching tracking) reconstruction algorithm in compressed sensing are studied and applied to the mobile robot wireless communication channel estimation.From the simulation results, the compressed sensing channel estimation algorithm of OMP and the compressed sensing channel estimation algorithm of SAMP are considered superior to the performance of the LS algorithm and LMMSE algorithm in the same SNR premise. In addition, the sparse degree of SAMP channel estimation algorithm based on compressed sensing needn’t be learned in advance, which is more accurate and practicable.Therefore, some reference value, which is for the channel estimation algorithm research of multiple mobile robots in LTE system, is provided by the research on compressed sensing channel estimation algorithm in this paper.