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A single Radio-Frequency Interference (RFI) is a disturbance source of modern wireless systems depending on Global Navigation Satellite Systems (GNSS) and Satellite Communication (SatCom). In particular, significant applications such as aeronautics and satellite communication can be severely affected by intentional and unintentional interference, which are unmitigated. The matter requires finding a radical and effective solution to overcome this problem. The methods used for overcoming the RFI include interference detection, interference classification, interference geolocation, tracking and interference mitigation. RFI source geolocation and tracking methodology gained universal attention from numerous researchers, specialists, and scientists. In the last decade, various conventional techniques and algorithms have been adopted in geolocation and target tracking in civil and military operations. Previous conventional techniques did not address the challenges and demand for novel algorithms. Hence there is a necessity for focussing on the issues associated with this. This survey introduces a review of various conventional geolocation techniques, current orientations, and state-of-the-art techniques and highlights some approaches and algorithms employed in wireless and satellite systems for geolocation and target tracking that may be extremely beneficial. In addition, a comparison between different conventional geolocation techniques has been revealed, and the comparisons between various approaches and algorithms of geolocation and target tracking have been addressed, including
Abulasad Elgamoudi; Hamza Benzerrouk; G. Elango; René Landry. A Survey for Recent Techniques and Algorithms of Geolocation and Target Tracking in Wireless and Satellite Systems. Applied Sciences 2021, 11, 6079 .
AMA StyleAbulasad Elgamoudi, Hamza Benzerrouk, G. Elango, René Landry. A Survey for Recent Techniques and Algorithms of Geolocation and Target Tracking in Wireless and Satellite Systems. Applied Sciences. 2021; 11 (13):6079.
Chicago/Turabian StyleAbulasad Elgamoudi; Hamza Benzerrouk; G. Elango; René Landry. 2021. "A Survey for Recent Techniques and Algorithms of Geolocation and Target Tracking in Wireless and Satellite Systems." Applied Sciences 11, no. 13: 6079.
In this paper, robust algorithms of information fusion between Pulsars timing, ranging and positioning with orbital dynamical model of explorer spacecraft is demonstrated with combination to inertial navigation system. Pulsar/CNS integration is considered in this work and was recently investigated using multiple variant of nonlinear filtering approaches, providing an interesting advances and results. However, due to the colored measurement noise from pulsars time of arrival measure, robust nonlinear filter has been derived based on Gauss Quadrature Kalman filters at different degrees. Moreover, because it has been demonstrated that in the during short period of observation, and minimum photons numbers, the noise affecting the X-Ray signal becomes not a Gaussian distribution. An alternative solution to this problem is proposed using multiple quadrature Kalman filters derived in the Gaussian Sum framework. At last, as an experimental validation, the Crab pulsar data were used to demonstrate the efficiency of the novel robust filtering approach against non linearity and also colored non Gaussian measurement noises.
Hamza Benzerrouk; Vladimir Nebylov; Alexander Nebylov; Rene. Jr Landry. Spacecraft INS/CNS/Pulsar integrated Positioning Navigation and Timing. IFAC-PapersOnLine 2020, 53, 14912 -14917.
AMA StyleHamza Benzerrouk, Vladimir Nebylov, Alexander Nebylov, Rene. Jr Landry. Spacecraft INS/CNS/Pulsar integrated Positioning Navigation and Timing. IFAC-PapersOnLine. 2020; 53 (2):14912-14917.
Chicago/Turabian StyleHamza Benzerrouk; Vladimir Nebylov; Alexander Nebylov; Rene. Jr Landry. 2020. "Spacecraft INS/CNS/Pulsar integrated Positioning Navigation and Timing." IFAC-PapersOnLine 53, no. 2: 14912-14917.
The article discusses the problem of providing optimal relative navigation and flight control of a group of satellites for remote control of robots operating at a great distance from the command post. It is necessary to provide the intensive data exchange between command post and robot (or several robots) by radio communication without essential delay in signals transmission. The geostationary satellites cannot work without a delay corresponding to their high orbit. That is why the low-orbit micro satellites must be used. To make them smaller and cheaper only one directional antenna is installed at each satellite and it is aimed at the desired point on the earth by the angular orientation of the satellite itself. Three small reaction wheels are used as the actuators for correct functioning of orientation system. For easy radio communication between satellites the distance between them has to be not more than 100m, and the task of keeping such formation is solving automatically with application of several electro-reaction engines. The requirements to all onboard automatic systems and equipment are estimated.
Alexander V. Nebylov; Vladimir V. Perliouk; Hamza Benzerrouk. Ensuring of Relative Navigation and Control of Low-Orbital Microsatellites Formation in the Task of Remote Control of Robots. IFAC-PapersOnLine 2019, 52, 238 -243.
AMA StyleAlexander V. Nebylov, Vladimir V. Perliouk, Hamza Benzerrouk. Ensuring of Relative Navigation and Control of Low-Orbital Microsatellites Formation in the Task of Remote Control of Robots. IFAC-PapersOnLine. 2019; 52 (12):238-243.
Chicago/Turabian StyleAlexander V. Nebylov; Vladimir V. Perliouk; Hamza Benzerrouk. 2019. "Ensuring of Relative Navigation and Control of Low-Orbital Microsatellites Formation in the Task of Remote Control of Robots." IFAC-PapersOnLine 52, no. 12: 238-243.
In this paper, we propose a new IMM (Interactive Multiple Model) algorithm called seventh degree cubature interactive multiple models IMM applied to manoeuvring Target tracking. Instead of using classical measurement model, it is proposed to consider full Doppler measurement signal as a new nonlinear observation, being highly nonlinear, and by assuming multiple and sequential measurement, information filter instead of the error covariance Kalman filter derivation is then valorized. Aiming at improving the accuracy and quick response of the filter in nonlinear manoeuvring target tracking problems, the Interacting Multiple Models 7th degree Cubature Information Filter (IMM7thCIF) is then implemented. It evaluates the information vector and information matrix rather than state vector and covariance with higher degrees than proposed in the literature, which can reduce the error of nonlinear filtering algorithm, specifically when highly nonlinear measurement are faced such as for Doppler signal. Simulation results show that the proposed filter exhibits fast and more accurate estimation and faster switching when disposing different manoeuvre models; it performs better than the IMM5th degree CKF, IMM3th degree CKF and IMMUKF on tracking accuracy.
H. Benzerrouk; A. Nebylov. Interactive Multiple Model Target Tracking Based on Seventh-Degree Spherical Simplex-Radial Cubature Information Filter. IFAC-PapersOnLine 2018, 51, 32 -37.
AMA StyleH. Benzerrouk, A. Nebylov. Interactive Multiple Model Target Tracking Based on Seventh-Degree Spherical Simplex-Radial Cubature Information Filter. IFAC-PapersOnLine. 2018; 51 (12):32-37.
Chicago/Turabian StyleH. Benzerrouk; A. Nebylov. 2018. "Interactive Multiple Model Target Tracking Based on Seventh-Degree Spherical Simplex-Radial Cubature Information Filter." IFAC-PapersOnLine 51, no. 12: 32-37.
Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters. A high-degree Gauss–Hermite information filter, as well as a seventh-degree cubature information filter (CIF), is developed to improve the fifth-degree and third-degree CIFs proposed in the most recent related literature. These algorithms are applied to maneuvering target tracking based on Radar Doppler range/range rate signals. To achieve this purpose, different measurement models such as range-only, range rate, and bearing-only tracking are used in the simulations. In this paper, the mobile sensor target tracking problem is addressed and solved by a higher-degree class of quadrature information filters (HQIFs). A centralized fusion architecture based on distributed information filtering is proposed, and yielded excellent results. Three high dynamic UAVs are simulated with synchronized Doppler measurement broadcasted in parallel channels to the control center for global information fusion. Interesting results are obtained, with the superiority of certain classes of higher-degree quadrature information filters.
Hamza Benzerrouk; Alexander Nebylov; Meng Li. Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters. Aerospace 2018, 5, 28 .
AMA StyleHamza Benzerrouk, Alexander Nebylov, Meng Li. Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters. Aerospace. 2018; 5 (1):28.
Chicago/Turabian StyleHamza Benzerrouk; Alexander Nebylov; Meng Li. 2018. "Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters." Aerospace 5, no. 1: 28.
The Extended Kalman Filter (EKF) has been the state of the art in integrated navigation systems and especially in Pedestrian Dead-Reckoning PDR for foot-mounted Inertial Measurements Units. However in most related work with PDR, indirect filtering approach is used based on linear error Kalman Filter (KF). In this work, it is proposed to outperform this approach by the use of Direct filtering approach, which involves the non-linearity in the propagation of the orientation, velocity and in some models, in position coordinates, where the EKF can not achieve optimal estimation. We propose then, the usage of the most recent algorithms developed in the last decade; Sigma Point Kalman Filters (SPKF), especially based on Cubature rule, called Cubature Kalman Filter (CKF) as the integration algorithm for the inertial measurements. The CKF improves the mean and covariance propagation consequently comparing with EKF and previous SPKF (UKF, CDKF). Although the CKF provides a better estimate of the orientation, velocity and position with Zero velocity UPdaTes (ZUPT) measurements and Zero Angular Rate UpdaTes (ZARUT), additional sensors are necessary to measure other states such as yaw angle and to estimate properly the gyroscope bias. We studied then the possibility to integrate electronic compass as additional measure and also Map street data base or Map building data base depending on the type of navigation "Indoor", "Outdoor". In order to get much better estimation based on the Cubature rule, it is proposed to synthesize CKF in order to get robust estimation against nonlinearity of the process and the multiple measurement sensors.
Hamza Benzerrouk; Alexander Nebylov; Pau Closas. MEMS IMU/ZUPT Based Cubature Kalman Filter Applied to Pedestrian Navigation System. Proceedings of International Electronic Conference on Sensors and Applications 2014, 1 .
AMA StyleHamza Benzerrouk, Alexander Nebylov, Pau Closas. MEMS IMU/ZUPT Based Cubature Kalman Filter Applied to Pedestrian Navigation System. Proceedings of International Electronic Conference on Sensors and Applications. 2014; ():1.
Chicago/Turabian StyleHamza Benzerrouk; Alexander Nebylov; Pau Closas. 2014. "MEMS IMU/ZUPT Based Cubature Kalman Filter Applied to Pedestrian Navigation System." Proceedings of International Electronic Conference on Sensors and Applications , no. : 1.