# LOS-NLOS-Classification-CNN

**Repository Path**: matt151016/LOS-NLOS-Classification-CNN

## Basic Information

- **Project Name**: LOS-NLOS-Classification-CNN
- **Description**: UWB LOS-NLOS Signal Classification using CNN
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2022-06-20
- **Last Updated**: 2022-06-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

LOS-NLOS-Classification-CNN
------
A keras implementation of [NLOS Channel Detection with Multilayer Perceptron in Low-Rate Personal Area Networks for Indoor Localization Accuracy Improvement](https://www.researchgate.net/publication/308986067_NLOS_Channel_Detection_with_Multilayer_Perceptron_in_Low-Rate_Personal_Area_Networks_for_Indoor_Localization_Accuracy_Improvement)

# Prerequisites
* Python 3.5
* Keras 2.0
* TensorFlow 1.4.0

# Usage
1. Download dataset from https://github.com/ewine-project/UWB-LOS-NLOS-Data-Set
2. Locate dataset file on <YOUR-PROJECT-FOLDER>/dataset/
3. Run code/sliced_cnn.py or code/cnn_classify.py