Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
Adaptive algorithms to track the PARAFAC decomposition of a third-order tensor
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
IEEE Transactions on Signal Processing
On parameter identifiability of MIMO radar with waveform diversity
Signal Processing
Direction finding with automatic pairing for bistatic MIMO radar
Signal Processing
Direction finding and mutual coupling estimation for bistatic MIMO radar
Signal Processing
Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar
Signal Processing
Closed-Form Blind 2D-DOD and 2D-DOA Estimation for MIMO Radar with Arbitrary Arrays
Wireless Personal Communications: An International Journal
Angle Estimation Using Quaternion-ESPRIT in Bistatic MIMO-Radar
Wireless Personal Communications: An International Journal
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A scheme for multitarget identification and localization using bistatic MIMO radar systems is proposed. Multitarget can be distinguished by Capon method, as well as the targets angles with respect to transmitter and receiver can be synthesized using the received signals. Thus, the locations of the multiple targets are obtained and spatial synchronization problem in traditional bistatic radars is avoided. The maximum number of targets that can be uniquely identified by proposed method is also analyzed. It is indicated that the product of the numbers of receive and transmit elements minus-one targets can be identified by exploiting the fluctuating of the radar cross section (RCS) of the targets. Cramer-Rao bounds (CRB) are derived to obtain more insights of this scheme. Simulation results demonstrate the performances of the proposed method using Swerling II target model in various scenarios.