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

Article: Multiple target localization & data association for frequencyonly widely separated MIMO radar
[Show abstract] [Hide abstract]
ABSTRACT: The multiple target localization using only Doppler frequencies in MultipleInput MultipleOutput (MIMO) radar is a problem of great interest. The Doppler frequencies include all relevant information about the location, velocity and direction of the targets. Hence, these frequencies can be used efficiently for data association and target localization. The MIMO configuration and the frequency diversity of the system enable us to easily determine the number of moving targets using only the Doppler frequencies. Then, the data association is achieved for the known number of targets by using the estimated target velocities, directions and positions which can be utilized together or separately for data association. Using these parameters, three data association methods are proposed, namely “Position & Velocity Based”, “Direction Based” and “Position, Velocity & Direction Based” Data Associations. Moreover, when probability of detection is less than unity, data association can still be achieved with some modifications. Besides that, another algorithm, referred to as “Frequency Reduction & Association”, is proposed to eliminate spurious frequencies when they appear in the spectrum. These are the first data association methods for Doppleronly systems and they can be used efficiently when Doppler frequencies are only available information in the MIMO radar context. After received frequencies are associated with the correct targets, multiple target localization can be performed using the associated Doppler frequencies.Digital Signal Processing 02/2014; 25:51–61. · 1.50 Impact Factor 
Conference Paper: Enhanced monopulse MIMO radar using reliable αβ filtering
[Show abstract] [Hide abstract]
ABSTRACT: Typically, the radar systems are put into the two categories: phased array radar with closely spaced antenna elements, and multipleinput multipleoutput (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  [Show abstract] [Hide abstract]
ABSTRACT: Target localization and the velocity estimation methods are proposed for frequencyonly 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, nonmaneuvering target is possible by using the Dopplershift 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;
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.