Performance Analysis of MIMO Radar Waveform using Accelerated Particle Swarm Optimization Algorithm
B. Roja Reddy, Uttara Kumari .M
TL;DR
This paper presents an application of an accelerated particle swarm optimization algorithm to design orthogonal waveforms with good correlation properties for MIMO radar, demonstrating its effectiveness through simulations.
Contribution
It introduces the use of ACC_PSO for designing DFCWs with improved correlation properties in MIMO radar systems.
Findings
The proposed ACC_PSO algorithm effectively designs DFCWs for MIMO radar.
Simulation results confirm the algorithm's efficiency in waveform optimization.
Designed waveforms exhibit good correlation properties for radar performance.
Abstract
The Accelerated Particle Swarm Optimization Algorithm is promoted to numerically design orthogonal Discrete Frequency Waveforms and Modified Discrete Frequency Waveforms (DFCWs) with good correlation properties for MIMO radar. We employ Accelerated Particle Swarm Optimization algorithm (ACC_PSO), Particles of a swarm communicate good positions, velocity and accelerations to each other as well as dynamically adjust their own position, velocity and acceleration derived from the best of all particles. The simulation results show that the proposed algorithm is effective for the design of DFCWs signal used in MIMO radar.
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