Afterwards, we compare the estimation algorithm performance against the CRLB. Specifically, by discretizing the field of view into N points, we determine the test statistic at each location and the location with the maximum value is considered the estimated target location. For both modes of operation, we describe potential target detection techniques, as well as providing a possible target location estimation algorithm. When the HMPAR steers its beam towards the target’s presumed location, but the target is elsewhere, results vary depending on the size of the field of view. In this case, when the sub-arrays are steered towards the true target location results show that the lowest CRLB values are obtained with low M and high P. In Mode 2, the radar is used for narrower beampatterns and employs transmit signals which allow a rapid scan of the field of view in one pulse. Results vary depending on the fluctuations of the beampattern. In Mode 1, the HMPAR is used for broad beams and employs quasi-orthogonal signals. Assuming that a non-moving, non-fluctuating target with an unknown complex target reflectivity is present in the field of view, we derive the Cramer-Rao Lower Bounds (CRLB), a performance bound on the variance of any unbiased target location estimator. Here we concentrate on the receive signal processing algorithms and performance. Previous works focused on transmit signals strategies and beampatterns for two possible modes of operation (called Mode 1 and Mode 2). The sub-arrays can be electronically steered in different directions and driven by separate transmit waveforms. This radar system comprises a large number of transmit and receive elements, MP, organized into M sub-arrays of P elements each. The Hybrid MIMO Phased Array Radar (HMPAR) is a multi-sensor radar architecture that merges together the concepts of a traditional phased array radar with the colocated Multiple-Input Multiple-Output (MIMO) radar.
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