An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

Abstract

In this paper, we propose an improved three-dimensional underwater electric field-based target localization method. This method combines the subspace scanning algorithm and the meta evolutionary programming (meta-EP) particle swarm optimization (PSO) algorithm. The subspace scanning algorithm is applied as the evaluation function of the electric field-based underwater target locating problem. The meta-EP PSO method is used to select M elite particles by the q-tournament selection method, which could effectively reduce the computational complexity of the three-dimensional underwater target localization. Moreover, the proposed meta-EP PSO optimization algorithm can avoid subspace scanning trapping into local minima. We also analyze the positioning performance of the uniform circular and cross-shaped electrodes arrays by using the subspace scanning algorithm combined with meta–EP PSO. According to the simulation, the calculation amount of the proposed algorithm is greatly reduced. Moreover, the positioning accuracy is effectively improved without changing the positioning accuracy and search speed.

Research on Indoor Positioning Algorithm Based on SAGA-BP Neural Network

“…Common indoor wireless positioning technologies include: Wi-Fi positioning [2], Bluetooth technology [3], UWB [4], RFID, infrared positioning, RFID, ZigBee technology [5], ultrasonic and geomagnetic technology [6], etc. The current positioning algorithms mainly include nearest neighbor method [7], centroid positioning method [8], trilateral positioning method [9], triangulation method [10], fingerprint positioning method [11], dead reckoning algorithm [12], particle Group positioning algorithm [13] and neural network positioning algorithm [14], etc. In the neural network optimization positioning algorithm, Liu et al [15] proposed a BP neural network indoor positioning system based on genetic algorithm optimization parameters.…”

Electric-field-coupled oscillators for collective electrochemical perception in biohybrid robotics

“…An interesting bio-inspired solution observed in weakly electric fish [9,10] consists of using underwater electric fields for collective sensing and communication. This approach, implemented for different purposes in potential and current modes [11][12][13], demonstrated strong and weak aspects of such technology. For example, some difficulties are related to the electric dipole of a single AUV being limited by the body length of the AUV [14].…”

Active Electric Anomaly Detection Method for Underwater Targets Based on the Orthonormal Basis Function

“…In recent years, several methods for EAD have been proposed, such as the electricsense method [7,8], the electrical impedance method [4,[9][10][11][12], and the amplitude information -frequency characteristics method [13,14]. Bazeille et al [7] proposed a purely model-based heuristic strategy, which estimates the pose and size of an ellipsoidal object based on a single straight trajectory.…”

“…The proposed strategy detects a perturbing object at the first algorithm stage using a fixed current threshold. Shang et al [8] introduced an improved underwater electric field-based target localization algorithm, which combines subspace scanning algorithm and meta-EP PSO. In this algorithm, the uniform circular electrodes were used to detect a dipole source.…”