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Simulations of Dynamic Phase Comparison Direction Finding Algorithm on Satellite Radio Receiver

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This repository contains simulations and results of dynamic phase comparison direction finding algorithm on satellite radio receiver.

Description of Categoty

Categoty Description
simulations All simulations source codes
simulation_results .mat data files of simulation results
functions source codes of functions for simulations
data_analysis source codes of analyzing and plotting simulation results

Description of Simulation Environment

These simulations have performed separately on 3 different computers.

Keypoint Description
Simulation Software MATLAB R2023a, including DSP System Toolbox, Filter Design HDL Coder, Fixed-Point Designer, Mapping Toolbox, Signal Processing Toolbox, Parallel Computing Toolbox.
Simulation Computer PC 1: Intel Core i7-7820HK, 32 GB Memory, Windows 10; PC 2: Intel Core i7-13700K, 64 GB Memory, Windows 11; Compute Server: AMD EPYC 7643, 640 GB Memory, Windows Server 2019.
Numerical Algorithm Plain numerical simulations.
Noise Source Gaussian noise generated by randn().
Simulation Time The range is from a few hours to dozens of hours depends on performance of computer.
Computational Effort Mainly depends on Number of azimuth angles * Number of simulation variables * Number of simulations * Sampling rate of the receiver / Frequency of the signal / Velocity of the receiver.
Algorithm Accuracy Mainly depends on SNR, Sampling rate of the receiver / Frequency of the signal, Cycle of signal sampled, Relative distance * Frequency of the signal.
Memory Requirements Mainly depends on the process number of parallel computing. Each process requires approximately 1 GB of memory.
Simulation Variables SNR (Signal-to-noise Ratio), SR (Sampling rate of the receiver), CIC (Cycle of signal sampled), Dist (Relative distance), Freq (Frequency of the signal), CIN (Number of coherent integration).

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Simulations of Dynamic Phase Comparison Direction Finding Algorithm on Satellite Radio Receiver

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