Learn More
This paper studies the velocity estimation performance for multiple-input multiple-output (MIMO) radar with widely spaced antennas. We derive the Cramer-Rao bound (CRB) for velocity estimation and study the optimized system/configuration design based on CRB. General results are presented for an extended target with reflectivity varying with look angle. Then(More)
This paper presents an analysis of target localization accuracy, attainable by the use of multiple-input multiple-output (MIMO) radar systems, configured with multiple transmit and receive sensors, widely distributed over an area. The Cramer-Rao lower bound (CRLB) for target localization accuracy is developed for both coherent and noncoherent processing.(More)
Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, the achievable localization minimum estimation mean-square error (MSE), with full resource allocation, may extend beyond the predetermined system performance goals. In this paper, performance driven resource(More)
—In this paper, moving target tracking performance in multiple input multiple output (MIMO) radar systems with distributed antennas and non-coherent processing is studied. Due to the use of multiple, widely distributed antennas, MIMO radar architectures support both centralized and decentralized tracking techniques. Each receiving radar may contribute to(More)
Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, with full resource allocation, the achievable localization minimum estimation mean-square error (MSE) may extend beyond the system predetermined performance goals. In this paper, performance driven resource allocation(More)
This paper presents an analysis of target localization accuracy, attainable by the use of MIMO (multiple-input multiple-output) radar systems, configured with multiple transmit and receive antennas, widely distributed over a given area. The Cramer-Rao lower bound (CRLB) for target localization is developed for coherent processing. It is shown that the(More)
This paper studies the velocity estimation performance for multiple-input multiple-output (MIMO) radar. MIMO radar employing widely dispersed antennas has an advantage in dealing with moving targets. By transmitting orthogonal waveforms MIMO radar can separate these waveforms at each receive antenna and has the ability to observe targets from different(More)
In this study, the hybrid Cramer-Rao bound (CRB) is developed for target localization, to establish the sensitivity of the estimation mean-square error (MSE) to the level of phase synchronization mismatch in coherent Multiple-Input Multiple-Output (MIMO) radar systems with widely distributed antennas. The lower bound on the MSE is derived for the joint(More)
In this paper, two resource allocation schemes for multiple radar systems are proposed. The first approach fully utilizes all available infrastructure in the localization process, i.e., all transmit and receive radars, while minimizing the total transmit energy. The power allocation among the transmit radars is optimized such that a predefined estimation(More)
Localization advantages of coherent Multiple-Input Multiple-Output (MIMO) radar systems are reliant on full phase synchronization among all participating radars. Phase synchronization errors are practically inevitable, reflecting on the system localization performance. In this paper quantitative tools to asses this effect are provided. The lower bound on(More)