Compressive sensing applied to radar systems: an overview

MA Hadi, S Alshebeili, K Jamil… - Signal, Image and Video …, 2015 - Springer
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 …

Sub-Nyquist radar systems: Temporal, spectral, and spatial compression

D Cohen, YC Eldar - IEEE Signal Processing Magazine, 2018 - ieeexplore.ieee.org
Radar is an acronym for" radio detection and ranging." However, the functions of today's
radar systems, both in civilian and military applications, go beyond simple target detection …

A survey of uncertainty principles and some signal processing applications

B Ricaud, B Torrésani - Advances in Computational Mathematics, 2014 - Springer
The goal of this paper is to review the main trends in the domain of uncertainty principles
and localization, highlight their mutual connections and investigate practical consequences …

CSSF MIMO radar: Compressive-sensing and step-frequency based MIMO radar

Y Yu, AP Petropulu, HV Poor - IEEE Transactions on Aerospace …, 2012 - ieeexplore.ieee.org
A new approach is proposed, namely CSSF MIMO radar, which applies the technique of
step frequency (SF) to compressive sensing (CS) based multiple-input multiple-output …

Sequence optimisation for compressed sensing CDMA MIMO radar via mutual coherence minimisation

S Nagesh, MA González‐Huici… - IET Radar, Sonar & …, 2024 - Wiley Online Library
The authors focus on the waveform design for Code Division Multiple Access Multiple Input
Multiple Output (CDMA‐MIMO) radar systems, with a specific emphasis on Compressed …

A note on the HRT conjecture and a new uncertainty principle for the short-time Fourier transform

F Nicola, SI Trapasso - Journal of Fourier Analysis and Applications, 2020 - Springer
In this note we provide a negative answer to a question raised by Kreisel concerning a
condition on the short-time Fourier transform that would imply the HRT conjecture. In …

Sensing matrix optimization for random stepped-frequency signal based on two-dimensional ambiguity function

M Lyu, H Chen, J Yang, X Wu… - Chinese Journal of …, 2024 - ieeexplore.ieee.org
Compressive sensing technique has been widely applied to achieve range-Doppler
reconstruction of high frequency radar by utilizing sparse random stepped-frequency (SRSF) …

Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission

EM Almohimmah, AM Ragheb… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
This paper proposes a novel signal composed of multiple quasi-orthogonal waveforms,
enabling the use of block-sparse recovery (BSR) in a photonics-based radar system. The …

[PDF][PDF] 一种稳健的盲稀疏度压缩感知雷达目标参数估计方法

王超宇, 梅湄, 朱晓华, 贺亚鹏, 李洪涛 - 电子与信息学报, 2014 - edit.jeit.ac.cn
针对压缩感知雷达(Compressive Sensing Radar, CSR) 在感知矩阵和目标信息矢量失配时距离-
多普勒参数估计性能下降的问题, 该文提出一种稳健的盲稀疏度CSR 目标参数估计方法 …

[PDF][PDF] 雷达高分辨率紧凑感知矩阵追踪算法

刘静, 盛明星, 宋大伟, 尚社, 韩崇昭 - 电子与信息学报, 2016 - edit.jeit.ac.cn
针对压缩感知雷达的感知矩阵相干系数随分辨率增加而增大以致不能以大概率对稀疏向量进行
完美重构的问题, 直接基于原始感知矩阵, 提出紧凑感知矩阵追踪(CSMP) 算法. 该文将CSMP …