Abstract
Abstract : A multiple-input multiple-output (MIMO) radar system, unlike a standard phased-array radar, can transmit via its antennas linearly independent waveforms. We have made significant contributions on exploiting the waveform diversity offered by MIMO radar to achieve superior performance. First, we have considered a MIMO radar system where both the transmitter and receiver have multiple well-separated subarrays with each subarray containing closely-spaced antennas. Because of this general antenna configuration, both the waveform diversity gain and the spatial angular diversity gain can be simultaneously achieved. Second, we have devised a cyclic optimization algorithm for the synthesis of signal waveform matrix X whose covariance matrix R is equal or close to a previously optimized covariance matrix. Third, we have developed a weighted least-squares based non-parametric and user parameter-free iterative adaptive approach (IAA), which can work well for MIMO radar applications, such as space-time adaptive processing (STAP) for ground moving target indication (GMTI). We have listed papers that provide details.
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