Papers

Title 1: Automatic Modulation Recognition using Deep CNN with Multilevel Fusion Mechanism (Pr)
Target: IEEE Transactions on Cognitive Communications and Networking

Title 2: Deep Learning for Object Detection Using Micro-Doppler Signatures in Autonomous Vehicles (Pr)
Target: KICS winter 2021
Next target: Pattern Recognition Letters (Elsevier)

Title 3: Convolutional Neural Network for Drone Detection and Classification on Edge Devices (Pr)
Target: Signal Processing (Elsevier)

Title 4: Deep Learning-Aided Near-Optimal Modulation Recognition for Edge intelligent Receivers (Pr)
Status: Masters Thesis

Last Week's Progress

Title 1
[1]. Worked on the unstable accuracy of the architecture.

Title 2
[1]. Micro-Doppler signature data generation.

Title 3
[1]. Researched different lightweight deep learning network architectures.
[2]. Pre-processed the open-source drone detection data.
[3]. Tested the preliminary network architecture.

Title 4
[1].Literature review.

This Week Todo's

Title 1
[1]. Continue working on the unstable accuracy of the architecture.

Title 2
[1]. Continue with the micro-Doppler signature data generation in different scenarios.

Title 3
[1]. Continue with pre-processing of more data samples and enhance the dataset.
[2]. Finalize the first four sections.

Title 4
[1].Continue with the Scope investigation.
[2].Continue with the Literature review.
[3].Start the introduction.

Project Progress

Anti-Drone

Last Week's Project

[1]. Pre-processed the open-source dataset.

This Week's Project

[1]. Continue with the pre-processing.

Monthly Goals

[1]. Master MATLAB communication, deep learning, Phased Array System, and optimization toolboxes.
[2]. Finalize the winter intensive.
[3]. Finish the first three chapters of the Thesis.

Annual Goals

[1]. To submit at least one paper to the SCI journal.
[2]. Attend international and domestic conferences recommended by NSL.
[3]. Acquiring knowledge and skills on NSL technical tools.