A Multi-target Detecting Algorithm For Automobile Millimeter Wave Anti-collision Radars

Automotive collision avoidance radar is widely used in today’s life. It can be effective found obstacels ahead in the process of the car. The radio waves can identify objects, the system analyzed the object is dangerous or not, the message to the driver, make the jugement to slow down or brake. In this method, it will effectively reduce the number of traffic accidents, ensure the safety in the process of the car.In this paper, it is commonly used in the automotive anti-collision system, aiming at several different ranging radar, respectively for FMCW, FSK, SFCW radars to do the research of the system FMCW radars, a novel target detecting algorithm is developed, which is based on the combination of FSK radar. A similar trapezoid frequency modulated waveform is adopted to realize the effective detection of single and multiple targets. The radar working with this algorithm can not only detect the distance and velocity of single target, but also these parameters of multiple targets. In this process, the echo signal in transmission process by a series of interference noise and clutter, through the analysis of different filter way, with the method of wavelet transform of the intermediate frequency signal noise reduction processing, filter out noise effectively, get the ideal intermediate frequency signal. The simulations and verifications are performed by MatLab software.The results show that the novel algorithm can catch the targets accurately, while the precision in measurement can be satisfactory. This multi-target detecting algorithm will be applicative to millimeter wave anti-collision radars.