Abstract
We propose and implement a low-complexity dual-chirp FMCW radar system for surveillance applications. The FMCW radar is suitable for the detection of various positions of multiple targets for the monitoring of concealed humans. For a surveillance FMCW radar system, it is necessary to distinguish between stationary and moving targets while maintaining a low level of complexity. However, conventional FMCW radar systems are very complex with many chirps to distinguish between stationary and moving targets. Even in hardware with low complexity levels, in order to distinguish between a stationary and a moving target, the proposed algorithm employs only dual chirps. Experimental results show that the proposed algorithm can effectively distinguish between moving and stationary targets despite its low complexity and low-level hardware.DOI: http://dx.doi.org/10.5755/j01.eie.24.6.22292
Highlights
There have been several studies of radar sensors for surveillance applications [1]–[10]
In order to confirm the performance of the proposed algorithm using two chirps in an actual environment, we performed a variety of experiments inside an advanced radar technology (ART) laboratory and an anechoic chamber located at DGIST in South Korea [17]
We proposed and implemented 24 GHz frequency-modulated continuous wave (FMCW) radar algorithm using dual chirps for surveillance applications
Summary
There have been several studies of radar sensors for surveillance applications [1]–[10]. Architecture for acquisition and a FPGA-based processing platform of a radar sensor with a single transmitter and multiple receivers These algorithms usually perform full-dimensional FFT when detecting in order to distinguish between stationary and moving targets and require high complexity levels. We propose and implement a low-cost FMCW radar algorithm with very low complexity for surveillance applications. The proposed algorithm recognizes the existence of the target by observing the phase change between the dual chirp signals. This system is implemented as a 24 GHz module with low complexity in order to verify that the proposed algorithm is suitable for surveillance applications.
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