Abstract
Non-ideal factors of transmitting signal are known as a kind of restriction to the performance of radar, especially the ability of finding the weak target. In this paper, the performance of MIMO radar in the aspect of weak target detection is researched. Firstly, the theory model of MIMO signal is presented. And then, a simulation system based on orthogonal signal is established. In this simulation platform, the performance of MIMO radar and phased array radar are studied. Simulation results show that for the same receiver limiting factor, the statistical error probability of MIMO radar is much lower than traditional phased array mode.
Highlights
Radar theory and technology is a rapidly developing field that has seen tremendous progress, challenging the traditional concepts and architecture to be continuously updated by a number of new radar systems
This work aimed to investigate the impact of radar signals emitted, including non-ideal factors and the strong clutter, on the MIMO radar and the radar target detection with a phased array
The simulation system developed above is taken for comparison study of phased array radar and MIMO radar under the same conditions with respect to differences in target detection performance, with a particular focus on non-ideal factors of anti-transmitted signal and the detection capability of weak targets in the presence of clutters
Summary
Radar theory and technology is a rapidly developing field that has seen tremendous progress, challenging the traditional concepts and architecture to be continuously updated by a number of new radar systems. Derived from the communication field, the MIMO technology incorporates a plurality of antennas to transmit different signals. This is an operating mode where each of these antennas is able to independently receive target echo. MIMO radar has come into the vision of people, with the related theoretical issues under the thematic discussions [1,2,3,4]. Compared with the distributed MIMO radar, the intensive form is closer to the reality of projects, easy to be implemented. It boasts some of the signal processing methods for the conventional phased array, such as matched filtering, digital beamforming, and dynamic target detection
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