Waveform Design For MIMO Radar And Clutter Simulation

Multiple-input multiple-output(MIMO) radar as a new radar system was developed in the last decade, and it has become the focus of the current international research. MIMO radar transmitter signals are mutually orthogonal to each other, so the type of MIMO radar signal with richer controllable parameters and more complex than the conventional phased array radar. A good waveform designed can take full advantage of MIMO radar rich space-frequency and code resources, it could also improve target detection, tracking performance and reduce the probability of being intercepted by the enemy. Therefore, orthogonal waveform design is the key point of MIMO radar systems. Orthogonal waveform design will directly determine the performance of MIMO radar are good or bad.The main content about this article is researched two new orthogonal waveform design optimization methods, combined with practical engineering background and needs, improved and optimization multi-phase coding sequence algorithms. Meanwhile, MIMO radar clutter is modeled by analyzing the bistatic MIMO radar clutter simulation.Contents of this article are mainly involved in the following areas:1. The basic structure of MIMO radar and the basic working principles are described, discussed the types and forms of MIMO radar orthogonal waveform.2. Research based on CAN algorithm design orthogonal waveforms, by equivalent correlation peak sidelobe level minimization problem is a frequency-domain minimization problem, and then transformed into a quadratic function minimization problem and loop optimization sub-problems, and ultimately got the best value. The algorithm has a strong computing power, able to meet the demand for long-coded radar, and the orthogonal waveforms has a low correlation characteristic. Finally, analyzed the relevant characteristics about this algorithm.3. Research based on sequential quadratic programming algorithm design of continuous phase encoded signals, and in the objective function by adding stringent constraints make orthogonal design with strictly orthogonal signals, thereby improving the noise cancellation effect, it can effectively enhance the target detection accuracy. Meanwhile, the "sum-signal" associated sidelobe being introduced into the objective function, improve the "sum-signal" of the correlation output. Such that the quantization process on the phase of a signal designed to meet the engineering requirements of the discrete phase, and the quantization characteristics and parameter constraints on the amount of side lobe correlation peaks are analyzed.4. Research on MIMO radar ground clutter modeling and simulation, through zero memory nonlinearity simulation Weibull distribution clutter and through spherically invariant random processes simulation K distribution clutter, and compared and summarized this two methods. Meanwhile, for bistatic MIMO radar ground clutter has been simulated and analyzed.