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  • 學位論文

偵測距離、速度和加速度的高效能演算法

Effective Algorithm for Target Detection with High Precission on Location, Velocity and Acceleration

指導教授 : 江簡富

摘要


汽車雷達主要用在提升行車的舒適與安全性。可適性恆速裝置、停車輔助系統、碰撞避免以及碰撞預測,都取決於座標、速度和加速度的準確估算。我們提出一個新方法,從FMCW的反射訊號估計座標、速度和加速度。Minimum-delay one-stage Kalman filters被用來準確估計加速度,最後我們採用汽車轉彎的例子做驗證。 我們另推導出一套,combination of two-stage and one stage Kalman filters,用來估計加速度,並用於船艦,估算近距離的飛彈位置。

關鍵字

加速度量測

並列摘要


Automotive radar sensors have been used to ensure comfort and safety. Adaptive cruise control (ACC), parking aid, collision avoidance, and pre-crash detection are applications pending on the accurate estimation of target location, velocity and acceleration. A new process by taking the measured FMCW echoes to estimate the range, velocity and acceleration of the moving target. Minimum-delay one-stage Kalman filters are proposed to calculate the acceleration accurately. Demonstration is given with a vehicle making a turn across the adjacent lane in front of the host vehicle. We also propose a new process by taking the measured FMCW echoes to estimate the range and velocity of a moving target. Combination of two-stage and one-stage Kalman filters are proposed to estimate the acceleration accurately. Demonstration is given with a missile making a turn to attack a ship.

並列關鍵字

Acceleration measurement

參考文獻


[1] F. Florian and H. Rohling, “Signal processing structure for automotive radar,” Frequenz,
pp.20-23, 2006.
[2] J. Wenger, “Automotive radar-status and perspectives,” IEEE Compound Semiconductor
[5] Mobileye, “Accident prevention and accident mitigation,” http:// www.mobileyevision.
Press, Annapolis, Maryland, USA, 1995.

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