Research on line spectrum extraction based on improved discrete particle swarm

Jinlin Liu Sr.; Bo Xing Sr.; Shilin Sun Sr.; Zongtang Zhang Sr.

doi:10.1117/12.2659360

22 November 2022 Research on line spectrum extraction based on improved discrete particle swarm

Jinlin Liu Sr., Bo Xing Sr., Shilin Sun Sr., Zongtang Zhang Sr.

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124750B (2022) https://doi.org/10.1117/12.2659360
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

The extraction path of the weak line spectrum in the LOFAR spectrogram under low signal-to-noise ratio conditions is typically about NP-hard combinatorial optimization, which is crucial to determine the motion characteristics of the target. Classical particle swarm optimization (PSO) algorithms have continuous optimization problems, and in this paper, a set-based algorithm for line spectrum extraction of improved discrete particle swarm (S-PSO-LSE) is proposed. The algorithm treats the discrete search space as a point set defined by each path node, while updating the definition of the operator on the set, and a new fitness function is proposed as a line spectrum quality standard. This increases the convergence accuracy for searching the line spectrum, improves the convergence rate, and provides good global search capability. The effectiveness and accuracy of the algorithm for weak line spectra are verified by simulation and sea trial data.

Citation Download Citation

Jinlin Liu Sr., Bo Xing Sr., Shilin Sun Sr., and Zongtang Zhang Sr. "Research on line spectrum extraction based on improved discrete particle swarm", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124750B (22 November 2022); https://doi.org/10.1117/12.2659360

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KEYWORDS

Particles

Signal to noise ratio

Detection and tracking algorithms

Optimization (mathematics)

Signal processing

Acoustics

Particle swarm optimization

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