| Recently, multiple-input, multiple-output (MIMO) radar has gained attention due to its ability to overcome target cross section scintillations, detect an increased number of targets, and reduce the amount of required hardware through the concept of a virtual array. While MIMO systems have been deployed in wireless communication systems, there are still some practical issues when considering a radar system. In order to overcome these challenges, compressed sensing (CS) as a recovery method and time-reversed space-time block codes (TR-STBC) as a transmit scheme are employed in angle-range radar systems. Pseudo-noise scrambled Hadamard codes along with TR-STBC waveforms are realizable, reduce the interference between probing waveforms by ensuring orthogonality, and offer diversity to overcome noisy conditions. Compressed sensing shows significant advantages over linear estimation methods by improving recovery performance, requiring fewer measurements, and reducing the time-bandwidth product. Additionally, the optimal spacing of the transmitting antenna and transmission length for the MIMO radar when using CS recovery are investigated. |
