Abstract
This paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (MTI) algorithm is proposed to effectively remove clutter. However, the MTI algorithm has a so-called ‘blind-speed problem’ that cannot detect a target of a specific velocity. In this paper, we try to solve the blind-speed problem of MTI algorithm by randomly selecting two beat signals selected for MTI for each frame. To further reduce the redundant complexity, the proposed algorithm first performs one-dimensional fast Fourier transform (FFT) for range detection and performs multidimensional FFT only when it is determined that a target exists at each frame. The simulation results show that despite low complexity, the proposed algorithm detects moving targets well by avoiding the problem of blind speed. Furthermore, the effectiveness of the proposed algorithm was verified by performing an experiment using the FMCW radar system in a real environment.
Highlights
Several studies on radar sensors have been reported [1,2,3,4]
We proposed an frequency-modulated continuous wave (FMCW) surveillance radar algorithm that solves the blind-speed problem and reduces complexity
We showed that the previous algorithm misses a moving target because the previous algorithm did not consider the velocity of the target
Summary
Several studies on radar sensors have been reported [1,2,3,4]. Radar sensors allow safe detection of targets because radar sensors are less sensitive to increment conditions such as heavy rain, snow, and fog compared to other sensors such as camera and LiDAR [5]. FFTs, these algorithms reduce the redundant complexity compared to the conventional FMCW radar algorithms using full dimension FFT To apply these algorithms to surveillance applications, an additional algorithm is required to distinguish between stationary target and moving target. The results of simulation and experiment show that the proposed algorithm achieves better performance compared to the [8] despite further low complexity These results imply that the proposed algorithm is one of solutions to the blind speed problem that misses a target a specific velocity. System Model and Conventional 3D-FFT-Based Detection Algorithm in FMCW Radar Systems
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