Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD

Abstract

A low complexity range-azimuth frequencymodulated continuous-waveform (FMCW) radar sensor using joint angle and delay estimation method without singular value decomposition (SVD) and eigenvalue decomposition (EVD) is presented in this paper. Conventional joint angle and delay estimation techniques exploit the dual-shift-invariant structure of received signals through matrix decompositions, such as SVD and EVD, which increases the computational burden. The proposed method utilizes the dual-shift-invariant structure through matrix inversion and performs angle and delay estimation using extended one-dimensional pseudospectrum searching instead of two-dimensional pseudospectrum searching to reduce the computational complexity. We demonstrate the effectiveness of the proposed method through Monte-Carlo simulations. The proposed algorithm is also verified by processing real FMCW data collected in an anechoic chamber.

Target Localization Using MIMO-Monopulse: Application on 79 GHz FMCW Automotive Radar

“…show deteriorated performance in the SNR range below 5 dB when the number of targets is unknown [24].…”

“…In FMCW radar systems, beat signals convey range and angle information, which enables to estimate the azimuth, elevation, range, and velocity of unknown targets via joint parameter estimation techniques such as 2D-MUSIC, 2D-ESPRIT, JADE, and multidimensional Capon [24]. However, such multi-dimensional sub-space techniques increased the computational complexity quite a lot, which needs to be considered in a real-time FMCW automotive radar system.…”

3D-Subspace-Based Auto-Paired Azimuth Angle, Elevation Angle, and Range Estimation for 24G FMCW Radar with an L-Shaped Array

“…Then, it satisfies [ 21 ] where T denotes full rank M by M transformation matrix. From U s , the pairs of sub-matrices such that { U s, 0 , U s, 1 }, { U s,X _0 , U s,X _1 }, and { U s,Y _0 , U s,Y _1 } can be defined such that …”

Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array

“…In order to make it easy to understand the proposed 3D estimation algorithm in Section 4, the conventional 1D [23] and 2D [24] super-resolution algorithms by using correlation matrix are introduced in this section.…”