Sharif Digital Repository

Target detection in noise radar is always done by computing cross-correlation between transmitted and received signals. In this process, side lobes of a strong target emerge and make some troubles in detection of weak ones (Masking Effect). Therefore, finding methods to suppress this effect becomes important. These methods can be implemented at the transmitter or receiver or at both to achieve more improvement. There are many new methods developed for the receiver side and a few methods applicable at the transmitter side. The main idea of suppressing side lobes at the transmitter is to design a specific noise signal instead of using purely random noise. In this paper we begin with... 

Compressive sensing (CS) has been widely used in multiple-input-multiple-output (MIMO) radar in recent years. Unlike traditional MIMO radar, detection/estimation of targets in a CS-based MIMO radar is accomplished via sparse recovery. In this article, for a CS-based colocated MIMO radar with linear arrays, we attempt to improve the target detection performance by reducing the coherence of the associated sensing matrix. Our tool in reducing the coherence is the placement of the antennas across the array aperture. In particular, we choose antenna positions within a given grid. Initially, we formalize the position selection problem as finding binary weights for each of the locations. This...