In this paper, the sampling rate of the base station is 61.44MHz, and multiple base stations need to collect signals synchronously. In practical engineering, high sampling rates and strict synchronization can increase hardware cost and complexity. Are the requirements of the algorithm on hardware devices (such as sampling rate and synchronization accuracy) likely to become the bottleneck of its large-scale deployment?
Hardware requirements: The base station sampling rate used in the paper is 61.44MHz, which does put high requirements on hardware equipment, especially in large-scale deployment may increase costs. Multi-base station synchronous signal acquisition requires high precision time synchronization, which challenges the clock synchronization technology of the system. Optimization in practical applications: Sampling rate optimization: The requirement for sampling rate can be reduced through signal pre-processing (such as downsampling) or compressed sensing techniques, while maintaining the key characteristics of the signal. Synchronization technology: The adoption of high-precision clock synchronization protocols (such as IEEE 1588) or satellite-based synchronization technologies (such as GPS) can alleviate synchronization problems to some extent. Distributed computing: Through edge computing or distributed processing, part of the computing task is distributed to each base station, reducing the burden on the central node. Feasibility of large-scale deployment: Although high sampling rates and synchronization requirements increase hardware complexity, these challenges are gradually being overcome with the development of technologies such as 5G communications and high-performance embedded systems. For specific application scenarios (such as military or high-precision industrial inspection), hardware costs may be acceptable; However, for consumer applications, the algorithm may need to be further optimized to reduce hardware requirements.
