Doppler Effect: Analyses and Applications in Wireless Sensing and Communications
Lie-Liang Yang
TL;DR
This work delivers a unified, rigorous treatment of Doppler effects for electromagnetic and acoustic waves across uniform and general motion, including relativistic and medium-dependent regimes relevant to wireless sensing, communications, and ISAC. It develops generalized Doppler expressions that decompose contributions from relative motion, time dilation, propagation media, and gravity, and extends them to remote and close zones, accelerated motion, and atmospheric layers. Practical insights include ionospheric/tropospheric Doppler modeling via TEC and refractivity, Sagnac corrections in satellite navigation, and land/satellite sensing formulas that enable velocity estimation from Doppler measurements. The results advance accurate velocity estimation, robust sensing, and ISAC system design in mmWave, terahertz, optical, and acoustic domains, while highlighting atmospheric and relativistic effects that must be mitigated for high-precision applications.
Abstract
This chapter is motivated by the need for a rigorous and comprehensive analysis of the Doppler effects encountered by electromagnetic and acoustic signals across a diverse spectrum of modern applications. These include land mobile communications, various Internet of Things (IoT) networks, machine-type communications (MTC), and various radar and satellite-based systems for navigation and sensing, as well as the emerging regime of integrated sensing and communications (ISAC). A wide array of kinematic profiles is investigated, ranging from uniform motion and constant acceleration to more complex general motion. Consequently, the multi-faceted factors influencing the Doppler shift are addressed in detail, encompassing classical kinematics, special and general relativity, atmospheric dynamics, and the properties of the propagation medium. This work is intended to establish a definitive theoretical foundation for both the general enthusiast and the specialized researcher seeking to master the complexities of signal frequency shifts in modern wireless sensing and communications systems.
