A MIMO radar system is conveniently modeled via random matrices, and its optimal design strongly relies on spectral properties of the matrix exploited to build the model itself. We offer a way to model a High Resolution Radar (HRR) detection in the MIMO case, based on recent results on the asymptotic spectral analysis of random Vandermonde matrices with entries lying on the unit circle. Achieva...

In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DOA) estimation is proposed in monostatic multiple-input multiple-output (MIMO) radar. Exploiting the special configuration of monostatic MIMO radar, low-dimensional real-valued received data can be obtained by using the reduced-dimensional transformation and unitary transformation technique. Then,...

This paper studies a multi-target localization method for distributed Multiple-input Multiple-output (MIMO) radar. We assume that the sets of time delays have already been estimated by a pre-processing algorithm. Based on the assumption, we propose a search pairing method based on ellipse model to locate the multi-target. Simulation results demonstrate that the proposed method effectively accom...

This paper derives its link of direction of arrival (DOA) and direction of departure (DOD) estimation problem for multiinput multi-output (MIMO) radar to the trilinear model. With the exploitation of this link, we present a trilinear decompositionbased blind algorithm for angle estimation in MIMO radar. After the algorithmic presentation and discussions for identifiability results, trilinear de...

The Accelerated Particle Swarm Optimization Algorithm is promoted to numerically design orthogonal Discrete Frequency Waveforms and Modified Discrete Frequency Waveforms (DFCWs) with good correlation properties for MIMO radar. We employ Accelerated Particle Swarm Optimization algorithm (ACC_PSO), Particles of a swarm communicate good positions, velocity and accelerations to each other as well a...

In this paper, we propose a low complexity two-dimensional direction of arrival (2D-DOA) estimation in monostatic multiple-input multiple-output (MIMO) radar with double parallel uniform linear arrays. The proposed algorithm uses propagator method (PM), which does not require any eigen-value decomposition of the covariance matrix and singular value decomposition of the received data, obtains cl...

In the part of radiolocation focused on one target tracking we can find for example active radar and passive surveillance systems but we cannot find any representative of passive radiolocation area. Therefore this paper is focused on the conceptual design and practical solution of passive radar for one target tracking. The scanning of the area of interest is ensured by an antenna system with a ...

Abstract– In MIMO (Multiple Input Multiple Output) radar systems multiple antennas at transmit and receive sides are used to improve the detection performance. Two important parameters which have an effect on the coverage and performance of these systems are: the transmitters’ power and the receivers’ positions. In this paper, assuming the Rayleigh scatter model for the target, the probability ...

Multiple-Input Multiple-Output (MIMO) radar provides much more flexibility than the traditional radar thanks to its ability to realize far more observation channels than the actual number of transmit and receive (T/R) elements. In designing the MIMO imaging radar arrays, the commonly used virtual array theory generally assumes that all elements are on the same line. However, due to the physical...

This paper details the design of precoders for a MIMO radar spectrally coexistent with a MIMO cellular network. We focus on a coordinated multi-point (CoMP) system where a cluster of base stations (BSs) coordinate their transmissions to the intended user. The radar operates in two modes, interference-mitigation mode when it avoids interference with the CoMP system and cooperation mode when it e...