Radar engineers and operators measure the radar return of a given target from a given angle in terms of its Radar Cross Section (RCS), from which they can detect and completely identify that target as its type, direction, and speed. The RCS of a target may have a huge value from one angle and at the same time has a very small value from another angle. So the challenge is to reduce the RCS of an...

In radar and sonar signal processing it is of interest to achieve accurate estimation of signal characteristics. Recorded pulse data have uncertainties due to emitter and receiver noise, and due to digital sampling and quantization in the receiver system. It is therefore important to quantify these effects through theory and experiment in order to construct “smart” pulse processing algorithms w...

This paper explores the bene"t of combining the data of a microwave phased-array radar with those of a low-frequency radar to detect and track a target with a low radar cross-section. The microwave phased-array radar has a fairly good target location accuracy that can be fruitfully combined with the good detection capabilities of the low-frequency radar. One technical problem to solve is the de...

Resolution is the bottleneck for the application of radar imaging, which is limited by the bandwidth for the range dimension and synthetic aperture for the cross-range dimension. The demand for high azimuth resolution inevitably results in a large amount of cross-range samplings, which always need a large number of transmit-receive channels or a long observation time. Compressive sensing (CS)-b...