Report

Gbtunze

February 1, 2021 - February 7, 2021

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 (S)
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)

Thesis: Deep Learning-Aided Near-Optimal Modulation Recognition in a Power-Constrained Intelligent Communication System (Pr)
Status: Tentative title

79% Progress
Last Week's Progress

Title 1
[1]. Adapted the information from literature in systematic fine-tuning of network architecture.
[3]. Incorporated feature map permutation fusion to a backbone of the network architecture.

Title 2
[1]. Investigated Phased Array System toolbox for the generation of more data samples and classes.

Title 3
[1]. Investigated the methodology.
[2]. Start exploratory data analysis based on open-source datasets.

Thesis
[1].Investigated the scope of the thesis

This Week Todo's

Title 1
[2]. Continue with finetuning a network architecture.
[3]. Testing feature map permutation fusion with the backbone of the network architecture.

Title 2
[1]. Continue with the investigation on the phased array system toolbox.

Title 3
[1]. Continue with the methodology.
[2]. Continue with the exploratory data analysis based on open-source datasets.

Thesis
[1].Continue with the scope investigation

Project Progress

Anti-Drone

73% Progress
Last Week's Project

[1]. Pre-processing of the open-source dataset.
[2]. Worked on LabVIEW communication design toolkit license issues.

This Week's Project

[1]. Continue with the pre-processing of the open-source dataset.
[2]. Continue with the fixing of the communication design toolkit license issues.
[3]. Prepare specifications of devices for data collection.

Monthly Goals

[1]. Master MATLAB communication, deep learning, and optimization toolboxes.
[2]. Improve the algorithm of the title [1] and finalize experiments.
[3]. Finish the LabVIEW USSRP module and Start RF data collection for the Anti-drone project.
[4]. Start experiments for the winter intensive

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 of NSL technical tools.