Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
Signal Synthesis and Receiver Design for MIMO Radar Imaging
IEEE Transactions on Signal Processing - Part II
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions
IEEE Transactions on Signal Processing
Hi-index | 35.68 |
Multiple-input multiple-output (MIMO) radar transmits multiple-coded signals. In matched filter receiver, coded signals are required to have very good auto- and cross-correlation properties. These conditions are difficult to fulfill simultaneously when the lengths of the codes are short and there are many transmit antennas. In this correspondence, a receive filter matrix is designed using quadratic optimization method. The integrated correlations between the transmitted codes and the receive filter matrix in the area around zero shift are constrained under a prescribed level and the output noise power is minimized. A closed form solution is obtained. This integrated sidelobe level (ISL) method is computationally more efficient compared with the peak sidelobe level (PSL) method.