Implementation of Embedded Multi target Tracking System Algorithm for Active Phased Array Radar LRDE, DRDO, Ministry of Defence Government of India, Bengaluru, India Dr.G.V.Jayaramaiah (2) Dept. of Electronics & Communication Engg Dr AIT, Mallathahalli, Bengaluru, India Abstract - Multi Target Tracking Systems not only recognize the presence of the target, but it determines the targets location in range and in one or two angle coordinates. As it continues to observe the target the radar can provide target track and predict where target will be in the future. Prediction of the future position of the target will be useful for verity of purposes like guidance, navigation etc. An accurate estimation of target parameters and prediction of the target future location can be achieved by suitable processing of the received signal. Data processing is done by implementation of sophisticated algorithms. Kalman Filter algorithm and Joint probabilistic data association algorithm are implemented to track the target in multi-cluttered environment. Algorithms of this kind are designed and developed to track multi-targets with all possibilities thus yielding efficient and reliable system. Index Terms— Kalman Filter, Data Filtering, Data Association I. INTRODUCTION RADAR (Radio Detection And Ranging) is an electromagnetic system for location and detection of reflecting objects like aircraft, ships spacecraft, people, vehicles and the natural environment. It functions by emitting radiation into the open space and detecting the echo signals reflected from a target. The reflected echo energy that is returned to the Radar receiver not only indicates the presence of a target, but by comparing the received echo signal with the signal that was transmitted, its location can be determined along with other target-related information. In Radar Data Processing (RDP) is a subsystem. It is a real time multi-tasking program consisting of a set of computer algorithms to utilize and process the radar measurements and automatically track the dynamics of one or more targets. Radar data processor (RDP) does Track While Scan (TWS) processing for multiple target tracking. Based on the data received via receiver/processor the objects next progression/position of the target is calculated. A tracking system problem can be divided into two problems, namely Data Filtering and association. It is assumed that the Filter is receiving the signal distance in constant and discrete time periods. Approximation is performed by the Filter to obtain the target’s actual position from these noisy measurements. In process to obtain the approximation, some prefixation of system is frequently presumed. Hence, the first problem relates to the selection of a specific Filter that can relate with most of the consequence in model where it is planned to be implemented. The ethos of Data association is the mathematical calculation of association for all instance with entire computational measurements in the current scan bound, and the concurrent use of those probabilities as weighting coefficients in the formation of a weighted average computational measurements for updating each instance. The computation is done by developing suitable algorithms for data association and filtering for multiple and diverse target tracking. It involves Software design. For software design Mat lab is used. I. TRACKING SYSTEM Tracking Radars The tracking radar system estimates the coordinate distance of the object/target and provides reception data to the processor which may be used to estimate target path/location and to predict its future traversal path. Major feature which distinguishes it from other radar is method by which angle tracking is accomplished. Tracking radars may be classified into two types:- a) Continuous tracking radar: This proposed system supplies continuous and concurrent tracking data on a targeted object. b) Tracks while radar scan: This system provides computational data on multiple diverse targets. In general, both systems deploy unique type of equipment’s. The antenna beam in continuous radar is positioned by an angle by servo-mechanism and it is actuated by an error signal. The various methods for generating error angle maybe differentiated as conical scan, sequential lobing and monopulse or simultaneous lobing. When a tracking mode is enabled in the radar, it does not have knowledge of other potential targets. Each time a radar scans past a target, its coordinate estimates can be obtained for further computation. If the change in target coordinates between each scan is not too large, so it makes possible to reconstruct the trail of target from the received computed data. When the traffic is so dense the operator cannot keep track of information from radar, trajectory of the target may be automatically processed by using computational system. Such processing is called ADT (automatic detection and track). An angular sector radar the provides target track is sometimes called track while scan radar. This terminology also applied to radars that scan a limited angular sector to provide tracking information at a high data rate on a particular target within its field of view. Missile control radars are of this type. Introduction To Tracking and Data Association Tracking is a process of computing measurements obtained from a target object in succession to sustain an evaluate from its current state, which typically consists system components such as radiated signal strength, spectral characteristics etc. International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 http://www.ijert.org IJERTV7IS010031 (This work is licensed under a Creative Commons Attribution 4.0 International License.) Published by : www.ijert.org Vol. 7 Issue 01, January-2018 58 M.C.Narasimhamurthy* (1)