Conference Paper

# Target tracking using monopulse MIMO radar with distributed antennas

Dept. of Electr. & Syst. Eng., Washington Univ. in St. Louis, St. Louis, MO, USA

DOI: 10.1109/RADAR.2010.5494628 Conference: Radar Conference, 2010 IEEE Source: IEEE Xplore

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**ABSTRACT:**We propose a multiple input multiple output (MIMO) radar system with widely separated antennas that employs monopulse processing at each of the receivers. We use Capon beamforming to generate the two beams required for the monopulse processing. We also propose an algorithm for tracking a moving target using this system. This algorithm is simple and practical to implement. It efficiently combines the information present in the local estimates of the receivers. Since most modern tracking radars already use monopulse processing at the receiver, the proposed system does not need much additional hardware to be put to use. We simulated a realistic radar-target scenario to demonstrate that the spatial diversity offered by the use of multiple widely separated antennas gives significant improvement in performance when compared with conventional single input single output (SISO) monopulse radar systems. We also show that the proposed algorithm keeps track of rapidly maneuvering airborne and ground targets under hostile conditions like jamming.IEEE Transactions on Aerospace and Electronic Systems 02/2011; · 1.30 Impact Factor - [Show abstract] [Hide abstract]

**ABSTRACT:**Target localization and the velocity estimation methods are proposed for frequency-only MIMO Radar with widely separated stations. For the target localization, time of arrival (TOA), angle of arrival (AOA) and frequency of arrival (FOA) informations can be used in cooperation. When the time resolution of the transmitted signals is not enough or good,i.e.; unmodulated CW radar, we can not rely on the TOA information to localize the target. On the other hand, if the frequency resolution of the transmitted signals is enough, only received frequencies can be used for finding the position of the target. Localization of a moving, non-maneuvering target is possible by using the Doppler-shift measurements in MIMO radar systems. This is a nonlinear problem and it can be solved by grid searching. After defining suitable cost funtion for the grid search, the desired area can be searched grid by grid to find the position of the target in 2D space. After target positioning is achieved, velocity of the target can be found by using the predefined cost function.IEEE National Radar Conference - Proceedings 01/2011; -
##### Conference Paper: Enhanced monopulse MIMO radar using reliable αβ filtering

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**ABSTRACT:**Typically, the radar systems are put into the two categories: phased array radar with closely spaced antenna elements, and multiple-input multiple-output (MIMO) radar with widely separated antennas. In this paper, we first review the detection performance of each radar system and investigate the compromised one, so called directional MIMO radar. Then, we also proposed an enhanced MIMO radar system as a special case of directional MIMO radar, where the localization performance is significantly improved, by applying the αβ filter. We also propose a tracking algorithm involved with filtering process. Using numerical simulations, we demonstrate that the proposed scheme can improve the localization performance while reducing the feedback from each receiver.MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012; 01/2012

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