NSA-CSIPSO: Satellite Navigation Signal Acquisition Method Based on Compressed Sensing Using Improved Particle Swarm Optimization

Abstract

Satellite navigation impacts military, civil, and other scientific areas at a mass level. However, despite destroying satellites directly, electromagnetic interference has become a main destruct way especially when acquiring satellite navigation signal in wartime. To avoid this issue, an adaptive-antenna beam forming algorithm based on direction of angle (DOA) estimation and anti-jamming compressed sensing (CS) technology was proposed in this paper, where spatial azimuth of sparsity signal can be acquired from the terminal of satellite navigation, with the advantage of compression and sampling of sparse signal. To improve this algorithm, the method, improved Particle Swarm Optimization (IPSO), was added to the acquisition of navigation signal. Simulation experiments show that this satellite Navigation Signal Acquisition method based on Compressed Sensing using improved Particle Swarm Optimization (NSA-CSIPSO) can ensure the accuracy of signal restoration in satellite navigation while reducing the space-required data from the receiver, which provides a new view of designing anti-jamming receiver in the future.