MATLAB Implementation of GPS Software Receiver with Signal Processing Algorithms

A GPS software receiver is a software-based tool designed to process Global Positioning System (GPS) signals. The implementation typically involves multiple algorithmic stages: signal acquisition, tracking, pseudorange calculation, and position resolution. Signal acquisition refers to the process of detecting satellite signals and converting them into digital format, often implemented using parallel code phase search algorithms with FFT-based correlation techniques in MATLAB. Tracking involves maintaining lock on satellite signals through phase-locked loops (PLL) and delay-locked loops (DLL) to continuously compute satellite positions and velocities. Pseudorange measurement determines the signal transmission time difference, which is calculated using code phase measurements and atmospheric correction algorithms to establish the distance between satellite and receiver. Position resolution combines multiple satellite distance measurements through least-squares or Kalman filter algorithms to determine the receiver's precise position and velocity. In MATLAB implementation, key functions include signal correlation for acquisition, loop filters for tracking, and navigation matrix solving for position calculation. Overall, GPS software receivers serve as essential tools for position determination and navigation applications, providing flexible signal processing capabilities through software-defined approaches.