Abstract
Abstract This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operates in the very high frequency mobile band and was developed primarily for collision avoidance. Since AIS is a one-way communication system which does not need to consider the target echo signal, it can estimate the atmospheric refractivity profile more accurately. Estimating atmospheric refractivity profiles from AIS signal power is a complex nonlinear optimization problem, the QPSO algorithm is adopted to search for the optimal solution from various refractivity parameters, and the inversion results are compared with those of the particle swarm optimization algorithm to validate the superiority of the QPSO algorithm. In order to test the anti-noise ability of the QPSO algorithm, the synthetic AIS signal power with different Gaussian noise levels is utilized to invert the surface-based duct. Simulation results indicate that the QPSO algorithm can invert the surface-based duct using AIS signal power accurately, which verify the feasibility of the new atmospheric refractivity estimation method based on the automatic identification system.
Highlights
Atmospheric ducting is an abnormal propagation phenomenon resulting from the varying refractivity of air, which can cause anomalous propagation of electromagnetic waves
This paper proposes a new refractivity profile estimation method based on the use of Automatic identification system (AIS) signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem
Estimating atmospheric refractivity profiles from AIS signal power is a complex nonlinear optimization problem, the QPSO algorithm is adopted to search for the optimal solution from various refractivity parameters, and the inversion results are compared with those of the particle swarm optimization algorithm to validate the superiority of the QPSO algorithm
Summary
Atmospheric ducting is an abnormal propagation phenomenon resulting from the varying refractivity of air, which can cause anomalous propagation of electromagnetic waves. RFC estimate refractivity profile of the atmosphere from the sea surface reflected radar clutter signal [2,3,4,5,6]. This method holds the characteristics of remote, indirect, real-time, cheap and convenient. Using existing shipboard and shore-based AIS equipment and AIS networks, no additional equipment is required, the cost is lower, and it is convenient to operate It can be accurately and efficiently invert the distribution of atmospheric ducts over the entire sea surface. Atmospheric refractivity profile estimation is an inverse problem, and the powerful and efficient quantum-behaved particle swarm optimization (QPSO) algorithm is presented to estimate the surface-based duct.
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