![]() The fusion algorithms improve the estimation accuracy by assigning mul-tiple AIS IDs to a track in order to resolve the AIS ID-to-track association ambiguity. Numerical experiments are provided to illustrate the developed theory.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. In the proposed method, a maritime scenario, where radar measurements and Automatic Identication System (AIS) messages are available, is considered. In this paper, several algorithms for antenna and pulse selection based on convex and submodular optimization are proposed. To achieve such a compromise, in this paper, the Cramér-Rao lower bound (CRLB) for the angle and velocity estimator is employed as a performance metric to design the antenna and the pulse placement. It is shown that the CRLB derived for two targets is a more appropriate criterion in comparison with the single-target CRLB since the two-target CRLB takes into account both the mainlobe width and the sidelobe level of the ambiguity function. On one hand, higher angle and velocity estimation accuracy is required, but on the other hand, a lower number of antennas/pulses is desirable. On one hand, higher angle and velocity estimation accuracy is required, but on the other hand, a lower number of antennas/pulses is desirable. Although higher angular resolution, improved parameter identifiability, and better target detection are achieved, the hardware costs (due to multiple transmitters and multiple receivers) and high-energy consumption (multiple pulses) limit the usage of MIMO radars in large scale networks. It should be noted that several challenges are related to the aforementioned objective (Blunt & Yantham, 2007): multiple modes of radar (monostatic, bistatic, etc.) and communications (multiple access. Abstract Multiple-input multiple-output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. ![]()
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