ABSTRACT
Benefiting from the developments in MIMO communication systems, MIMO radars have received considerable attention in recent years. Unlike phased-array radars, in which all transmit antennas emit a scaled version of the same waveform, a MIMO radar system transmits multiple independent or correlated waveforms from its antennas. This enables improved target angle and Doppler resolution, lower minimum detectable velocity, and lower probability of intercept. These advantages render MIMO radars a highly desirable technology for military and civilian applications, such as homeland defense, medicine, and marine science.
388This chapter presents a class of MIMO radars that use compressive sensing (CS), namely, CS-MIMO radars, which were initially proposed in [9–12]. CS-MIMO radars capitalize on the sparsity of the target returns in the target space, to achieve the high resolution of MIMO radars but with significantly fewer measurements, or significantly improved performance for the same number of measurements. A reduction of the volume of required data translates into shorter acquisition time, and in bandwidth and power savings.
Both military and civilian applications are increasingly interested in networked radars, in which the antennas are placed on sensors and communicate their findings to a fusion center via a wireless link. Reliable surveillance, however, requires collection, communication, and fusion of vast amounts of data from a range of sensors, thus requiring high-communication overhead in terms of bandwidth and transmission power. CS-MIMO radars appear as good candidates for networked radars as they substantially reduce the amount of data measured and transmitted by each sensor through the network.
