With the adoption of arbitrary and increasingly wideband signals, the design of modern
radar systems continues to be limited by analog-to-digital converter technology and data …

Compressive radar receiver can keep a good balance between sub-Nyquist sampling and
high resolution. To evaluate the performance of compressive time delay estimators, Cramér …

The design of wideband radar systems is often limited by existing analog-to-digital (A/D)
converter technology. State-of-the-art A/D rates and high effective number of bits result in …

In this work the dynamic compressive sensing (CS) problem of recovering sparse,
correlated, time-varying signals from sub-Nyquist, non-adaptive, linear measurements is …

This paper considers compressive sensing for time-frequency signal representation (TFSR)
of nonstationary radar signals which can be considered as instantaneously narrowband …

In this paper, we propose a Bayesian compressive sensing algorithm for effective
reconstruction of sparse signals that demonstrate sparsity as continuous but irregular narrow …

Compressive sensing and processing handles high-resolution delay-Doppler radar
measurements using a low sampling rate, simple receiver design, and inexpensive …

It usually suffers from long observing time and interference sensitivity when a radar transmits
the high-range-resolution stepped-frequency chirp signal. Motivated by this, only partial …

Modern radar systems tend to utilize high bandwidth, which requires high sampling rate, and
in many cases, these systems involve phased array configurations with a large number of …

Existing compressive sensing techniques mostly consider the sparsity of signals in one
dimension. However, a very important case that has rarely been studied is when the signal …