Sparse signal models for data augmentation in deep learning ATR

T Agarwal, N Sugavanam, E Ertin - Remote Sensing, 2023 - mdpi.com
Automatic target recognition (ATR) algorithms are used to classify a given synthetic aperture
radar (SAR) image into one of the known target classes by using the information gleaned …

High resolution mimo radar sensing with compressive illuminations

N Sugavanam, S Baskar, E Ertin - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
We present a compressive radar design that combines multitone linear frequency modulated
(LFM) waveforms in the transmitter with a classical stretch processor and sub-Nyquist …

Models of anisotropic scattering for 3D SAR reconstruction

N Sugavanam, E Ertin - 2022 IEEE Radar Conference …, 2022 - ieeexplore.ieee.org
We study different modeling approaches to anisotropic scattering from man-made objects to
derive novel solutions to the 3D imaging problem from multi-pass circular synthetic aperture …

Deep learning for three dimensional SAR imaging from limited viewing angles

N Sugavanam, E Ertin… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
A synthetic aperture radar (SAR) collects samples of the three-dimensional (3D) spatial
Fourier transform of the scene on a two dimensional conical manifold corresponding to the …

[PDF][PDF] 多频调频稀疏分解的微动目标参数估计方法

周叶剑, 张磊, 菅毛, 王虹现, 邢孟道 - 电子与信息学报, 2017 - edit.jeit.ac.cn
精细化的回波微动调制分析是提取弹道目标运动几何特性的重要技术手段. 该文提出一种多频点-
调频傅里叶稀疏分解的微动估计方法来分析目标的时频特性. 首先, 该文介绍弹道目标进动回波 …

Complex-valued deep-learning model for 3D SAR modeling and image generation

N Sugavanam, E Ertin - 2023 57th Asilomar Conference on …, 2023 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) collects samples of the 3D Spatial Fourier transform on a two-
dimensional manifold corresponding to the backscatter data of wideband pulses launched …

Neural Implicit representations for 3D scene modeling and visualization using multipass SAR

N Sugavanam, E Ertin… - EUSAR 2024; 15th …, 2024 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) collects samples of the 3D Spatial Fourier transform on a two-
dimensional surfaces corresponding to the backscatter data of wideband pulses launched …

Modeling frequency dependent scattering models for SAR Image Spectrum Extrapolation

N Sugavanam, E Ertin - 2023 IEEE Radar Conference …, 2023 - ieeexplore.ieee.org
The wavelength used for illumination dictates the scale of the mechanisms that interact with
the incident electromagnetic (EM) energy. We model the synthetic Aperture Radar Image of …

Micro-motion estimation for ballistic targets with multi-frequency chirp decomposition

Y ZHOU, L ZHANG, M JIAN, H WANG, M XING - 电子与信息学报, 2017 - jeit.ac.cn
Accurate micro-motion characteristics analysis is an important technique to extract the
geometrical characteristics of ballistic targets. In this paper, a multi-frequency Chirp sparse …

Recovery Guarantees for High-Resolution Radar Sensing with Compressive Illumination

N Sugavanam, E Ertin - Compressive Sensing of Earth …, 2017 - taylorfrancis.com
This chapter focuses on coherent multiple-input and multiple-output (MIMO) radar systems
with closely separated antennas, such that the angle of arrival of each scatterer in the …