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Research On Cognitive Transmitting For MIMO Radar And Simulation Software Design

Posted on:2015-10-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y F ChenFull Text:PDF
GTID:2308330464466901Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Cognitive radar can adaptively design the transmit waveform and select the operation mode and the form of radar signal processing according to the characteristics of the targets and environment, and can improve the performance of detection and tracking by taking advantage of all available prior information. So, cognitive radar is a new trend of modern radar technology development. It has been widely studied owning to its good performance in recent years. Cognitive transmitting is a fundamental difference between cognitive radar and traditional radar. Taking multiple-input-multiple-output(MIMO) radar for example, this paper considers the cognitive transmitting problem under the background of multiple targets tracking, and designs an integrated simulation software. The main contributions of this thesis are summarized as follows:1. Signal processing method of MIMO radar is studied. Firstly, the signal mode of MIMO radar and two kinds of receiving signal processing structure are introduced. Then, two orthogonal waveform design methods which are based on genetic algorithm and sequential quadratic programming are introduced, respectively. What’s more, considering the multiple targets environment, transmit beam-pattern design based on minimum side-lobe and transmit waveform design based on cycle algorithm are explained. At last, several common algorithms of adaptive receive beamforming are analyzed.2. The cognitive transmitting problem of MIMO radar is studied under the background of multiple targets tracking. The cognitive transmitting problem is simplified into two aspects, which are the resource management and the optimization design of transmit beam-pattern respectively. In the resource management, the optimal allocation method by minimizing the worst predicted Bayesian Cramér-Rao lower bound(BCRLB) is introduced. Numerical results show that the worst tracking accuracy can be efficiently improved by the optimized power allocation. In the optimization design of transmit beam-pattern, the method of multi-beam synthetic beam-pattern and waveform design based on sequential quadratic programming algorithm are introduced. The simulation results show that transmit signal waveforms got by sequential quadratic programming algorithm, have better autocorrelation and cross correlation.3. Cognitive radar cognitive transmitting integrated simulation software design method based on Matlab and Visual Studio 2008 is studied. Firstly, runtime environment and development tool are introduced. The software mainly contains three modules, which are scene data module, algorithms simulation module and integrated simulation module, respectively. Moreover, scene data module consists of setting, printing, saving and loading the parameters of targets, transmit signal and radar. Algorithms simulation module contains transmit beam-pattern design, transmit signal design and receive beamforming, etc.. The integrated simulation module shows the simulation result according to the set parameters in scene data module. The result consists of dynamically drawing the target trajectory and the tracking accuracy. What’s more, it also can print the result of power allocation. At last, the method of plotting and other operations is introduced, which includes amplificating operation, moving operation and resetting operation.
Keywords/Search Tags:Cognitive Radar, Transmit Beam-pattern, Receive Beamforming, Power Allocation, Bayesian Cramér-Rao lower bound
PDF Full Text Request
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