MSc Final Year Project Specification – 2020/2021
理学硕士论文代写 Autonomous vehicles are being developed with the promise of improving road traffic safety, passengers’ conveniences as well as economic
Project Title:
Analysis on mutual interference in automotive FMCW radar 理学硕士论文代写
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Background. (Please include a general scene-setting overview of the project – targeted at the non-specialist)
Autonomous vehicles are being developed with the promise of improving road traffic safety, passengers’ conveniences as well as economic and environmental benefits. All traditional automotive companies (Ford, BMW, etc.) and new players (Tesla, Google, etc.) started unprecedented race to develop level 4 (deep driver assistance) and level 5 (fully autonomous vehicles) autonomy. In the heart of autonomy, alongside with artificial intelligence are sensors which not only replace human ability to “see the road” but shall outperform human ability. The introduction of a big number of sensors at each car for mapping the environment to avoid obstacles and operate safely also introduces a problem of ‘mutual interference’ between them. The immediate future challenge therefore comes from the co-existence of many active sensors in diverse traffic environments. 理学硕士论文代写 This project main goal is to develop simulator to model mutual interference in automotive scenario and employ a mitigation strategy to remove interference’s adverse effect if necessary.
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Expected Outcomes.(Please include a specification for the expected outcomes of this project when undertaken by an average student. e.g. ‘The aim of this project is to design and ….’)
The project aim is to model and investigate the effect of interference between two FMCW radars with different waveform parameters using the developed simulator on the target detection in automotive scenario. The developed model should enable the analysis to be conducted at various stage of signal processing chain of FMCW radar and demonstrating the signals in various domain. As a result of this investigation and comparative analysis, the critical range of parameters will be identified corresponding to the cases when the interference affects severely the vulnerable road actor detection. Theoretical modelling will be based on the analytical approach. Signals will be simulated in Matlab/Python. Quasi-structured activities: 理学硕士论文代写1. Literature survey on radar interference phenomenology in automotive scenarios. 2. Overview of FMCW and PMCW interferences 3. Modeling and simulation of FMCW radar with only targets on the scene. 4. Range-Doppler map formation and signal processing 5. Modelling and simulation of FMCW interferences under given parameters of interfering radars. 6. Identifying the critical range of interference parameters 7. Extracting parameters of interferers with analytical approach 8. Simulation of the automotive scenario where interference is present alongside returns from the real targets.
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Enhancement Position. (It is anticipated that many students will achieve the expected outcomes stated above. Using bullet points, please list a suitable set of achievable enhancement objectives.)
More advanced and, therefore, optional 理学硕士论文代写 1. Overview of mitigation techniques for FMCW/FMCW interference 2. Application/Development of mitigation technique for the simulated scenario.
Potential advance – experimental confirmation: FMCW/CW experimental interference confirmation
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References 理学硕士论文代写1. S. Sanka, ‘Radar to radar interference for 77GHz automotive radar,’ Master’s Thesis. 2. S. Alland, W. Stark, M. Ali, and M. Hegde, “Interference in Automotive Radar Systems: Characteristics, Mitigation Techniques, and Current and Future Research,” IEEE Signal Processing Magazine, vol. 36, no. 5, pp. 45-59, Sept. 2019, doi: 10.1109/MSP.2019.2908214. 3. F. Uysal and S. Sanka, “Mitigation of automotive radar interference,” IEEE Radar Conference (RadarConf18), Oklahoma City, OK, USA, 2018, pp. 0405-0410, doi: 10.1109/RADAR.2018.8378593. |
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