Range Tracking System Research Articles

STUDY ON EFFECTS OF RGPO TO RANGE TRACKING SYSTEM OF TARGETING RADAR

The article informs reader about the research results of characteristic features and affecting factors of RGPO, which appear in the range tracking system of Doppler mono-pulse targeting radars. Based on the research results, necessary requirements for security of the range tracking system are formulated. The effective anti-RGPO methods are proposed.
 Effective control of RGPO requires special method, including in the development special mathematical algorithms for early detection, analysis and recognition escape laws, as well as the method error compensation introduced by RGPO in the tracking system.
 Alternative algorithm for early detection RGPO and their recognition is proposed, which makes it possible to construct a structure Tracking System with new detector of RGPO.

Temperature and Humidity Monitoring on IoT Based Shipment Tracking

To maintain quality of goods among shipment process, monitoring and controlling is performed. Moreover, position of the vehicles is performed by GPS tracking. However, conventional monitoring and controlling temperature and humidity is done manually. Moreover, inaccurate measurement during shipment process is affected to the goods quaity especially for goods and beverages packets. Inaccurate tracking has contributed as one factor which causes vehicle lost in control. To addressing these limitation, integrating shipment process such as temperature, humidity, tracking and tracking system are proposed based on Internet of Things (IoT). The systems are conducted by uses Arduino Uno, RFID MFRC522, GPS Neo6M, DHT11 dan RTC DS1307. The system performance has monitored humidity and temperature properly and bus range tracking system is conducted using Neo6M based on IoT. Data measurement result are delivered onto Clouduino over Internet network at any time. Therefore realtime measurement and tracking are visualized onto Web using API Google Maps. The performance result shows that within two experiment treatments, such as static and mobility measurements, the propose system are performed well. In static measurements, the average interval value of the data transmission time is 5,75 seconds from the designed interval value of 5 seconds, the average value of the deviation from the interval of data transmission time is 0,75 seconds, and the average delay time between data transmission and reception is 0,3 seconds. While at dinamic measurements, the average interval value of the data transmission time is 6.22 seconds from the designed interval value of 5 seconds, the average value of the deviation from the interval of data transmission time is 1.22 seconds, and the average delay time between data transmission and reception is 2.31 seconds.

A convergence analysis of a passive underwater tracking system with nonlinear feedback

The basic signal processing structure of a new passive underwater tracking system incorporating nonlinear feedback [1], [2] is modeled, and its ability to converge to an unbiased estimate of target range is examined. Target measurements are derived using difference of arrival times between passive sensor systems geometrically separated. The range tracking system utilizes a nonlinear signal processor to first linearize and invert the noisy time delay measurements. This eliminates the need for extended Kalman filtering techniques and allows the use of a more basic-type state estimator [1]. However, the processed measurements now contain both nonstationary and non-Gaussian measurement errors. To help compensate for these effects, the tracking system incorporates nonlinear feedback from output to input, in order to help maintain a zero-mean measurement error process. Thus, a theoretical investigation is necessary to examine overall tracking system convergence after an initial target detection and/or target maneuver has occurred. The convergence analysis is performed using two separate tracking models. The first model is a scalar first-order low-pass filter. The second model is a vector Kalman-type state estimator. Although the estimator is linear, the overall tracking system is nonlinear due to the non-linear bias removal feedback and the data linearization system. This inherent complexity requires the convergence analysis to be both analytic and make extensive use of computer simulation analysis. Results show that each system converges, but with a small bias that is both geometry and signal-to-noise ratio dependent.

Civil Helicopter Flight Operations Using Differential GPS

The results of NASA flight trials of a dual-receiver differential global positioning system (DGPS) for civilian helicopter navigation applications, are presented. The three principal components of the DGPS system are described, including the GPS ground-reference system, a range tracking system, and an on-board sequential GPS receiver. The ground-based receiver in the DGPS operates at a known fixed location and receives C/A code signals from NAVSTAR satellites. System bias errors in the ground receiver are subtracted from the airborne solution for the navigational fix. Calculations of the differential bias error are carried out using an on-board PDP-11/34 M research computer. The ground-reference differential corrections for satellites are given in a table. It is shown that the differential correction signal of the DGPS contains only a small (0.1 rad/sec) high-frequency component which can be attributed to system error. A schematic diagram of the DGPS postflight data processing routine is provided.

A Digital Range Tracking System

A fully digital realization of a range tracking system is described. This system operates on binary quantized radar video and provides the target range and radial velocity information in digital form. Details of system realized for typical values of transmitter pulse width and pulse repetition frequency of a tracking radar and its performance in presence of white Gaussian noise are given.

A Range Balance Unit for the Digital Range Tracking System

Digital Range Tracking system is used in Radars because of its inherent advantages over the conventional analogue system using gears, servomotors and variable phase condenser. Range balance or error detector which is used to detect the difference between the past and the present position, forms the heart of an automatic range tracking unit. The principle of Digital Range Tracking system is explained and the Design and Operation of the Range Balance unit is discussed. The experimental results are given.