The phenomenon of a target echo peak overlapping with the backscattered echo peak significantly undermines the detection range and precision of underwater laser *** overcome this issue,we propose a four-quadrant dual-...
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The phenomenon of a target echo peak overlapping with the backscattered echo peak significantly undermines the detection range and precision of underwater laser *** overcome this issue,we propose a four-quadrant dual-beam circumferential scanning laser fuze to distinguish various interference signals and provide more real-time data for the backscatter filtering *** enhances the algorithm loading capability of the *** order to address the problem of insufficient filtering capacity in existing linear backscatter filteringalgorithms,we develop a nonlinear backscattering adaptive filter based on the spline adaptive filter least mean square(SAF-LMS)*** also designed an algorithm pause module to retain the original trend of the target echo peak,improving the time discrimination accuracy and anti-interference capability of the ***,experiments are conducted with varying signal-to-noise ratios of the original underwater target echo *** experimental results show that the average signal-to-noise ratio before and after filtering can be improved by more than31 d B,with an increase of up to 76%in extreme detection distance.
Purpose This paper aims to target tracking in the marine environment is typically obtained by considering the measurement parameters like frequency, elevation and bearing. Marine environmental surveillance provides cr...
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Purpose This paper aims to target tracking in the marine environment is typically obtained by considering the measurement parameters like frequency, elevation and bearing. Marine environmental surveillance provides critical information and assistance for the exploitation and maintenance of marine resources. Design/methodology/approach With the use of intelligent sensor techniques like Hull-mounted and towed array sensors, convenient, precise and dependable three-dimensional (3D) underwater target tracking is introduced. Findings This research investigates a method to develop a reliable Unscented Kalman Filter (UKF) algorithm for enhanced underwater target tracking in a 3D scenario by using bearing, frequency and elevation measurements. In applications for underwater target tracking, uncertainty and inaccuracies are typically described by using Gaussian additive noise. Originality/value The proposed UKF algorithm is tested and analyzed using 100 Monte Carlo simulations with the Gaussian generated noise.
A combined algorithm for joint estimation the distortions of the OFDM signal and channel factors is proposed in the article. The algorithm is based on two procedures: 1) estimating the generalized channel factors usin...
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ISBN:
(纸本)9781728132389
A combined algorithm for joint estimation the distortions of the OFDM signal and channel factors is proposed in the article. The algorithm is based on two procedures: 1) estimating the generalized channel factors using a polynomial spline approximation, the least squares method and finding the signal distortion estimates for them, 2) a nonlinear filtering algorithm to refine the parameters values such as DC components and frequency offset. The algorithm operates on two reference OFDM symbols under conditions of a priori uncertainty regarding phase noise and observation noise, and also allows to increase noise immunity and reduce computational complexity, as compared with the case of using only procedure 1).
To deal with the distributed estimation problem for mobile sensor networks with non-linear systems and a large amount of data transfer, the distributed event-triggered cubature information filtering based on weighted ...
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To deal with the distributed estimation problem for mobile sensor networks with non-linear systems and a large amount of data transfer, the distributed event-triggered cubature information filtering based on weighted average consensus is proposed. The filter benefits from the non-linear filteringalgorithm with consensus technique and event-triggered mechanism which reduces the amount of data transfer. The triggering decision is based on the data transmission mechanism, which is that each sensor makes a request to exchange information with its neighbours only if the difference between the most recent transmitted estimate and the current estimate exceeds a tolerable threshold. The estimation error of the proposed filter is proved to be bounded in mean square. Finally, numerical examples are provided to demonstrate the effectiveness of the theoretical results.
Because of the increased demand on fault detection, monitoring and predictive maintenance, online or recursive identification is playing a more important role in systems engineering. In the recent releases of System I...
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In order to detect passively targets fixed on the ground or targets on the sea surface with multi-flight-vehicle cooperation, a continuous passive TDOA (Tune difference of arrival) location method is presented which c...
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ISBN:
(纸本)9781538612446
In order to detect passively targets fixed on the ground or targets on the sea surface with multi-flight-vehicle cooperation, a continuous passive TDOA (Tune difference of arrival) location method is presented which can he applied to multi-flight-vehicle platforrn. Measurement information used in the method includes time difference, angle of target, and distance between receiving stations. nonlinear system model is established in the method. In order to continuously estimate the target's accurate position, Unscented Kalman Filter (UKF) is used to solve the nonlinear model. The method solves the problem that mobile platforms in the air cannot give accurate passive TDOA location of targets, when the receiving stations' positioning is inaccurate and the configuration of the stations is unfixed. Simulation results show that the continuous passive TDOA location method has high location accuracy and strong convergence, and change of spatial configuration of multi-tlight-vehicle cooperative flight has little influence on the positioning accuracy.
In order to detect passively targets fixed on the ground or targets on the sea surface with multi-flight-vehicle cooperation, a continuous passive TDOA(Time difference of arrival) location method is presented which ca...
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In order to detect passively targets fixed on the ground or targets on the sea surface with multi-flight-vehicle cooperation, a continuous passive TDOA(Time difference of arrival) location method is presented which can be applied to multi-flight-vehicle platform. Measurement information used in the method includes time difference, angle of target, and distance between receiving stations. nonlinear system model is established in the method. In order to continuously estimate the target's accurate position, Unscented Kalman Filter(UKF) is used to solve the nonlinear model. The method solves the problem that mobile platforms in the air cannot give accurate passive TDOA location of targets, when the receiving stations' positioning is inaccurate and the configuration of the stations is unfixed. Simulation results show that the continuous passive TDOA location method has high location accuracy and strong convergence, and change of spatial configuration of multi-flight-vehicle cooperative flight has little influence on the positioning accuracy.
Integration of low-cost Micro-Electro-Mechanical Systems (MEMS) in the design of Inertial Navigation Systems (INS) for real-time guidance, navigation, and control of flying vehicles often results in low precision, poo...
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In this study, a non-linear filteringalgorithm for state estimation with symmetric alpha-stable (SS) noise is presented. The dynamic system model investigated here can be described by a linear state-space equation an...
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In this study, a non-linear filteringalgorithm for state estimation with symmetric alpha-stable (SS) noise is presented. The dynamic system model investigated here can be described by a linear state-space equation and a non-linear observation equation. The contribution of this study can be summarised as follows. First, particle filtering approach is employed for coarse estimation of the unknown parameters and then Kalman filter is performed to achieve better estimation. Second, SS noise is considered as the additive disturbance in the observed signal and Gaussian approximation is used to compute the characteristics. Third, the calculation complexity is analysed according to the proposed algorithm. The proposed method is compared with the standard particle filter, extended Kalman filter and unscented Kalman filter for static parameter estimation of a periodic signal. As a practical application, the proposed method is used in high frequency source localisation based on time difference of arrival measurements.
Ground target position estimation of near space vehicle is the key technology in military and civilian field. In this paper, we propose an effective method using the cubature Kalman filter (CKF) based on direction of ...
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ISBN:
(纸本)9783038352679
Ground target position estimation of near space vehicle is the key technology in military and civilian field. In this paper, we propose an effective method using the cubature Kalman filter (CKF) based on direction of arrival (DOA) and its rate of change. Comparisons with the location method only using DOA and the classic EKF algorithm are conducted respectively. Simulation results indicate that the proposed method has faster convergence speed and better location precision.
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