A Compressive Sensing-Based Dynamic Estimation Algorithm in Unified Laser TTC System

Abstract

Unified laser telemetry, tracking, and command (TTC) system on space platforms is increasingly utilized in space exploration for the reason that it takes advantage of the ultra-wideband laser signal, which is beneficial for high-speed command communication and high precision tracking and ranging. Unfortunately, its deployment is hindered by imprecise temporal synchronization because of high dynamic resulting from the movement of space platforms. This paper develops new compressive sensing (CS)-based dynamic estimation algorithm to address the dynamic estimation problem in spaceborne intensity modulation direct detection (IMDD)-based laser TTC systems. Specifically, we first design the sparsity in the transformation domain. On top of this design, a sparsity-aware algorithm for dynamic estimation through CS via sparse transformation is developed. To evaluate its performance, we conduct extensive simulations and the results demonstrate the effectiveness of the proposed algorithm in terms of good accuracy. Moreover, the analytical and simulation results show that the proposed algorithm exhibits better performance than conventional CS algorithms in terms of computational complexity, suggesting its attractiveness for spaceborne IMDD-based laser TTC systems.