A fast adaptive acquisition method for burst spread spectrum communication system.

Aiming at the design requirements of large carrier frequency offset, low signal-to-noise ratio (SNR) and low power consumption in the low-speed wireless Internet of Things (IoT) burst spread spectrum communication system, this paper proposes a new fast adaptive acquisition method, which combines multi-branch differential signals with different delay interval to eliminate the impact of large carrier frequency offset. Through the design of multi-level multi-symbol acquisition mechanism, multi-dimensional coherent and non-coherent processing is carried out, and signal acquisition processing is carried out adaptively. Theoretical analysis and simulation results show that this method has low computational complexity and strong anti-noise performance, and can effectively combat large carrier frequency offset.