Emitter velocity estimation comparison for frequency difference of arrival measurement based single and multiple reference lateration algorithm

The accuracy at which the instantaneous velocity and position of a non-stationary emitting source estimated using a lateration algorithm depends on several factors such as the lateration algorithm approach, the number and choice of reference receiving station (RS) used in developing the lateration algorithm. In this paper, the use of multiple reference RSs was proposed to improve the velocity estimation accuracy of the frequency difference of arrival (FDOA) based lateration algorithm. The velocity estimation performance of the proposed multiple reference FDOA based lateration algorithm is compared with the conventional approach of using single reference RS at some selected emitter positions using Monte Carlo simulation. Simulation result based on an equilateral triangle RS configuration shows that the use of multiple reference RSs improved the velocity estimation accuracy of the lateration algorithm. Based on the selected emitter positions, a reduction in velocity estimation error of about 0.033m/s and 1.31 m/s for emitter positions at ranges 0.5 km and 5 km respectively was achieved using the multiple reference lateration algorithm

Development of a 2-dimensional angulation algorithm target locating error estimation technique

A multiangulation (MANG) system determines an emitting target location using the angle of arrival (AOA) measurement estimated from its emission with an angulation algorithm. Prior to deployment of the system, it is important to know if the horizontal coordinate (HC) root mean square error (RMSE)s obtained by the system at certain target locations given an AOA error are within approved standards set by the international regulatory bodies. For this reason, a MANG system target locating error estimation technique based on Euclidean geometrical analysis and linear regression is proposed in this paper. This is to assist in the systematic determination and prediction of the HC RMSE obtained by the angulation algorithm of the MANG system. The proposed technique is validated by comparison with the Monte Carlo (MC) simulation at some randomly selected target locations using a square receiving station (RS) configuration. Result comparison shows that the proposed technique predicts the target HC RMSE obtained by the angulation algorithm within a system coverage of 10 km by 10 km with a prediction accuracy of about ±5 m.Keywords: Multiangulation system; Angle of arrival: Angulation Algorithm; Error prediction; Linear regressio

2-Dimensional position error bias analysis of an angle of arrival based target locating system

An angle of arrival (AOA) based locating system determines the location of an emitting target using its emission detected at spatially deployed ground station (GS) with an angulation algorithm. The position estimation (PE) accuracy of the system depends on several factors one of which is the approach to the development of the angulation algorithm. For passive target locating, the closed-form angulation algorithm is used and has been known to introduce bias in the PE process. In this paper, a bias analysis of the closed-form angulation algorithm is carried out to determine its percentage in the overall position mean square error (MSE). The analysis is carried out using a three-GS triangular configuration at some randomly selected unmanned aerial vehicle (UAV) drone locations. Monte Carlo simulation result based on 200 realizations shows that the bias error introduced by the angulation algorithm in the overall position MSE is about 64%. With the knowledge of the bias percentage, the actual locations of the UAV drones within the AOA-based locating system coverage can be determined

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

The 3-Dimensional (3-D) position estimation (PE) accuracy of a multilateration (MLAT) system depends on several factors one of which is the accuracy at which the time difference of arrival (TDOA) measurements are obtained. In this paper, signal attenuation is considered the major contributor to the TDOA estimation error and the effect of the signal attenuation based on path loss propagation model on the PE accuracy of the MLAT system is determined. The two path loss propagation models are considered namely: Okumura-Hata and the free space path loss (FSPL) model. The transmitter and receiver parameters used for the analysis are based on actual system used in the civil aviation. Monte Carlo simulation result based on square ground receiving station (GRS) configuration and at selected aircraft positions shows that the MLAT system with the Okumura-Hata model has the highest PE error. The horizontal coordinate and altitude error obtained with the Okumura-Hata are 2.5 km and 0.6 km respectively higher than that obtained with the FSPL mode

Direct and indirect TDOA estimation based multilateration system position estimation accuracy comparison

Multilateration (MLAT) system estimate aircraft position from its electromagnetic emission using time difference of arrival (TDOA) estimated at ground receiving station (GRS)s with a lateration algorithm. The position estimation (PE) accuracy of the MLAT system depends on several factors one of which is the TDOA estimation approach. In this paper, the PE performance of a minimum configuration 3-dimensional (3-D) MLAT system based on the direct and indirect approaches to TDOA estimation is presented. The analysis is carried out using Monte Carlo simulation with the transmitter and receiver parameters based on an actual system used in the civil aviation. Simulation results show that within 150 km radius, the direct TDOA based MLAT system performs better than the indirect TDOA based MLAT system. Beyond 150 km radius, the indirect TDOA based MLAT system has the least PE error compared the direct TDOA based MLAT system. Further comparison of the MLAT system based on the two TDOA estimation approaches with other surveillance systems shows that the direct TDOA based MLAT system has the least PE error within 150 km radius while long-range aircraft PE beyond 150 km, automatic surveillance dependent broadcast (ADS-B) outperformed the MLAT system as it has the least PE error

Mitigating the Signaling Resources Expended in 5G Location Management Procedures at Millimeter-Wave Frequencies

The signaling resources expended and the power consumed by User Equipments (UEs) in the Location Management (LM) procedures are expected to be higher in Fifth Generation (5G) than in legacy wireless communications networks. To mitigate this challenge, this work proposes a hybrid scheme that mitigates the signaling resources expended in paging and RAN-based Notification Area Update (RNAU) procedures in 5G. The approach utilizes a hybrid scheme that embeds a UE Identifier (UEID) partitioning scheme that directional pages UEs into a gNB-based UE Mobility Tracking (UEMT) scheme. The approach configures a gNB in an RRC_Inactive state to beam sweep a UEs last registered cell area before directionally paging the UE. The approach proposed in this work is implemented on a modified network architecture to reduce the signaling resources expended on both paging and RNAU of UEs at higher frequencies which is an enabling factor for mmWave systems. Simulation results of the total accumu- lated cost of paging showed a 65.13 % and 8.69 % reduction in signaling resources expended against the conventional approach and the existing gNB-based UEMT approach, respectively. Additionally, the total accumulated resources expended in both procedures over 24 hours showed that the modified gNB-based UEMT scheme outperformed the conventional scheme and the gNB-based UEMT scheme by 90.96 % and 38.36 %, respectively

Drone’s node placement algorithm with routing protocols to enhance surveillance

Flying ad-hoc network (FANET) is characterized by key component features such as communication scheme, energy awareness, and task distribution. In this research, a surveillance space considering standard petroleum pipe was created with three drones viz: drone 1 (D1), master drone (DM), and drone 2 (D2) to survey as FANET. DM aggregate packets from D1, D2 and communicate with the static ground control station (SGCS). The starting point of the three drones and their trajectories during deployment were calculated and simulated. Selection of DM, D1, and D2 was done using battery level before take-off. Simulation results show take-off time difference which depends on the distance of each drone to the SGCS during deployment. D1 take-off first, while DM and D2 followed after 0.0704 and 0.1314 ms respectively. The position-oriented routing protocols results indicated variation of information flow within time notch due to variation in the density of the transmitted packets. Packets delivery periods are 0.00136×103 sec, 0.00110×103 sec, and 0.00246×103 sec for time notch 1, 2, and aggregating time notch respectively. From the results obtained, two algorithms were used successfully in deploying the drone

Emitter locating performance analysis for multilateration system

Multilateration or time-delay of arrival estimation can provide three dimensional (3D) emitter locating suitable for airborne targets. This is an advantage over AOA based methods which could provide only two dimensional (2D) emitter locating. The performance of the multilateration for 3D emitter locating depends on the distance and the arrangement of the receivers that constitutes the multilateration system. This project investigates on the minimum possible arrangement for the receivers suitable for a 3D multilateration system and evaluates the accuracy for two emitter operating frequencies (1090 MHz and 10 GHz). The variability in the location estimation will be evaluated for different signal-to-noise ratios and compared with the international civil aviation organization (ICAO) vertical and Federal Aviation Administration (FAA) horizontal minimal separation. The evaluation shows that the requirement for horizontal and vertical separations is met at maximum range of 200 km and at a maximum altitude of 15 k

Development of an Association Technique for a 3-Dimensional Minimum Configuration Multilateration System

Multilateration (MLAT) system estimates the position of an aircraft using time difference of arrival (TDOA) measurement estimated at ground receiving station (GRS) pairs with a lateration algorithm.  In multiple aircraft scenarios, multiple TDOA measurements are estimated at GRS pairs. Thus, there is a need to group and associate the TDOA measurements according to each aircraft before the position estimation (PE) process with the lateration algorithm. In this paper, a multi-reference TDOA association (M-RETA) technique based on multiple referencing approach to TDOA estimation, its zero cyclic sum property, and nearest neighbor search approach is developed for a minimum configuration 3-D MLAT system. The performance of the M-RETA technique is determined considering a five aircraft flying configuration with an aircraft pair separation of at least 5.5 km in accordance with the Federal Aviation Administration (FAA) standard. Simulation result shows that the M-RETA technique association accuracy depends on the TDOA estimation error and separation between the aircraft. Simulation result shows that the M-RETA technique as on an average 88% probability of correct association