Abstract
Low-complexity-based reduced-dimension–multiple-signal classification (RD-MUSIC) is proposed with extrapolation for joint time delay of arrivals (TOA) and direction of arrivals (DOA) at automotive frequency-modulated continuous-wave (FMCW) radar systems. When a vehicle is driving on the road, the automotive FMCW radar can estimate the position of multiple other vehicles, because it can estimate multiple parameters, such as TOA and DOA. Over time, the requirement of the accuracy and resolution parameters of automotive FMCW radar is increasing. To accurately estimate the parameters of multiple vehicles, such as range and angle, it is difficult to use a low-resolution algorithm, such as the two-dimensional fast Fourier transform. To improve parameter estimation performance, high-resolution algorithms, such as the 2D-MUSIC, are required. However, the conventional high-resolution methods have a high complexity and, thus, are not applicable to a real-time radar system for a vehicle. Therefore, in this work, a low-complexity RD-MUSIC with extrapolation algorithm is proposed to have a resolution similar to that of a high-resolution algorithm to estimate the position of other vehicles. Compared with conventional low complexity high resolution, in experimental results, the proposed method had better performance.
Highlights
Frequency-modulated continuous-wave (FMCW) radar systems have many advantages, including lower cost and complexity, over equivalent pulse radar systems [1,2,3]
A MATLAB simulation was performed to verify the estimation results of the proposed algorithm compared with the conventional 2D-multiple signal classification (MUSIC)
It was assumed that a 24-GHz radio frequency (RF) module of an FMCW radar with one transmitting channel and two receiving channels is used to obtain the simulation results
Summary
Frequency-modulated continuous-wave (FMCW) radar systems have many advantages, including lower cost and complexity, over equivalent pulse radar systems [1,2,3]. For FMCW radar, spatial–temporal parameters, such as multipath time delays of arrivals (TOA) and directions of arrivals (DOA), have been widely studied [4]. These two parameters are useful to estimate the position of moving targets in FMCW radar systems. By means of a dechirping method of an FMCW radio frequency (RF) module, the received signals can be transformed into sinusoidal waveforms to acquire TOAs and DOAs information. We can define these sinusoidal signals as beat signals
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