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This paper considers the detection problem and its realistic implementation for multiple-input multiple-output (MIMO) radar with widely separated antennas. In particular, since the range cells of different transmit-receive channels are not in superposition, but intersecting with each other, it is difficult to determine, by gathering measurements from all transmit-receive channels, whether a target...
Target detection in multiple-input multiple-output (MIMO) radar is researched in this paper. We consider a MIMO radar whose transmitters and receivers all employ focused beams to acquire a higher data rate. In addition, the transmitters can illuminate the target asynchronously which means a higher data rate. Based on these characters, in this paper we proposed a detection method that detect the moving...
Distributed MIMO radar systems have demonstrated to offer enhanced target localization capabilities. Reasonable power allocation strategies are designed to motivate a maximal system potential. However, the existing power allocation strategies strongly depend on the accuracy of previous position estimation, which restricts the real-time applications. In this paper, we extend the existing works to a...
This paper considers the problem of estimating a moving target for Multiple Input Multiple Output (MIMO) waveform Sky-Wave Over The Horizon Radar (OTHR), in which the target is often smeared by the ionosphere disturbance. We start from signal model of the MIMO waveform OTHR, derive the smeared echo model. Based on the echo model, we propose a blind identification algorithm to estimate the target's...
In this paper, we deal with the problem of simultaneously detecting and tracking multiple targets using polarimetric multiple input multiple output (MIMO) radars. The problem is formulated in a Bayesian framework by modeling the collection of states as a random finite set. First, we propose a multiple sensor Multi-Bernoulli (MS-MeMber) filter based track-before-detect (TBD) algorithm suitable for...
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