Research On MIMO Radar Signal Processing Technique And Implemention

Multiple-Input Multiple-Output transmits waves by multiple transmitting antennas and receives targets echos by multiple receiving antennas. Some excellent qualities can be obtained by exerting diversity gain on MIMO radar.These merits achieve research value and application foreground.This dissertation is composed of the following parts:1. Long-time integration algorithm of MIMO radar is studied in this paper.The advantage lies in it can accumulate for many times and beam span need not consider.Because the transmitting beam and receiving beam are formed by calculation.The transmitting beams are multiple and wide. The beams can be filled with the whole space and work in fashion of beam staring.The beams span does not exist.In the field of non-coherent integraton, the Hough transform algorithm is amended to fit for the detection of the mobile object. In the field of coherent integration, the envelope interpolation migration compensation is amended to increase the comensation precision. The frequency-domain combing compensation is put forward to fit to the objects with acceleration, which significantly improves the detection ablitity with high compensation precisions and easy parallel implementation.The MIMO radar synthesizes space integration and slow-time integration to realize high performance searching and tracking of mobile and weak objects,which is more excellent than phase-control radar.2.High-range resolution profiling technique of MIMO radar based on synthetic wideband waveforms is researched in this paper. The advantage is that it can receive multiple waveforms at the same time to improve the speed and the effect of imaging. The improved algorithm is proposed, which is not only suitable for small scence but also large scence. Parameter selection, bar-lobe and side-lobe restraining, range and phase revising and movement compensation are analyzed and proposed the approach fit for engineering implementation. High-range resolution profile detection based on netural network is discussed, which is suitable for low SNR. These algorithms in this paper are easy to realized in engineering application.3. High performance implementation of MIMO radar signal processing system using VPX bus and TMS320C6678 multi-core DSP is studied. This kind of design has advantages in parallel capability, calculation ability, cost and so on, compared to the design with cPCI bus and single-core DSP. But, because of complexity of the new platform and lack of successful experience, many difficulties are needed to solve. Deep research in the hand of signal processing system design, hardware design, supporting software and application arithmetic implementation softsware are processed. The effectiveness of the algorithm and the feasibility of implementation based on multi-core DSP are verified through the engineering realization on a MIMO experimentation system.