This project aims at building a real-time wide band channel sounder using USRPs

Overview

RFNoC-HLS-WINLAB

Bhargav Gokalgandhi [email protected]

Prasanthi Maddala [email protected]

Ivan Seskar [email protected]

Introduction

This project aims at building a real-time wide band channel sounder using USRPs, which computes the power delay profile of a multi-path channel, and focuses mainly on large scale antenna systems as shown below. This channel sounder is used for computation of the power delay profile of a multipath channel in a massive multiple antenna system in the ORCA framework (https://www.orca-project.eu/).

channel_sounding_demo

A spread spectrum channel sounder as shown below is implemented. channel_sounder_block_diagram

To enable real-time channel sounding at multiple receive antennas at high bandwidths, the computationally intensive task of correlation has been moved to the FPGA. Also, the correlation power (output of correlation module) obtained is averaged over a given number of data symbols in order to reduce the USRP to host data rate.

The system has been tested using USRP X310s on ORBIT testbed. All the X310s in the testbed are synchronized with an external reference clock.

RFNoC Blocks implemented

  1. Spreader
  2. Correlator
  3. Averaging Block

Steps to build Channel sounder

  1. Generate HDL using Vivado HLS   Go to each of the 4 HLS projects (@hls-projects) and run script.tcl - vivado_hls script.tcl   Generated verilog files can be found @solution1/syn/verilog of each folder. NOTE : while generating correlator uncomment either COR_SIZE_256 or COR_SIZE_512 to select a size 256 or size 512 correlator

  2. Move HDL files Move all the contents of fpga-src folder to your local RFNoC installation folder uhd/fpga-src/usrp3/lib/rfnoc/ Move all the HLS generated verilog files (from all the 4 projects) to uhd/fpga-src/usrp3/lib/rfnoc/

  3. Test NoC Blocks In uhd/fpga-src/usrp3/lib/rfnoc/, go to each test bench folder (noc_block_spec_spreader_tb) and run make vsim to run the test bench using Modelsim or run make xsim to use Vivado simulator.

  4. Build Channel sounder Tx In uhd/fpga-src/usrp3/tools/scripts/ run ./uhd_image_builder.py duc spec_spreader -m 4 --fill-with-fifos -d x310 -t X310_RFNOC_HG

  5. Build Channel sounder Rx To use 1 Rx channel in X310 - In uhd/fpga-src/usrp3/tools/scripts/ run ./uhd_image_builder.py ddc correlator cir_avg -m 4 --fill-with-fifos -d x310 -t X310_RFNOC_HG

    To use 2 Rx channels in X310 - In uhd/fpga-src/usrp3/tools/scripts/ run ./uhd_image_builder.py ddc ddc correlator correlator cir_avg cir_avg -m 7 --fill-with-fifos -d x310 -t X310_RFNOC_HG

Run the Channel sounder

Host side application files for the transmit and receive hosts can be found at host/examples. These files and how to run them will be explained in detail in the demo video which will be posted soon.

Owner
Xilinx
GitHub.Com/Xilinx/
Xilinx
Distributional Sliced-Wasserstein distance code

Distributional Sliced Wasserstein distance This is a pytorch implementation of the paper "Distributional Sliced-Wasserstein and Applications to Genera

VinAI Research 39 Jan 01, 2023
Repo público onde postarei meus estudos de Python, buscando aprender por meio do compartilhamento do aprendizado!

Seja bem vindo à minha repo de Estudos em Python 3! Este é um repositório criado por um programador amador que estuda tópicos de finanças, estatística

32 Dec 24, 2022
PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)

mlp-mixer-pytorch PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021) Usage import torch from mlp_mixer

isaac 27 Jul 09, 2022
Tensorflow port of a full NetVLAD network

netvlad_tf The main intention of this repo is deployment of a full NetVLAD network, which was originally implemented in Matlab, in Python. We provide

Robotics and Perception Group 225 Nov 08, 2022
SANet: A Slice-Aware Network for Pulmonary Nodule Detection

SANet: A Slice-Aware Network for Pulmonary Nodule Detection This paper (SANet) has been accepted and early accessed in IEEE TPAMI 2021. This code and

Jie Mei 39 Dec 17, 2022
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment

Preference-Planning-Deep-IRL Introduction Check my portfolio post Dependencies Gym stable-baselines3 PyTorch Usage Take Demonstration python3 record.

Tianyu Li 9 Oct 26, 2022
GLIP: Grounded Language-Image Pre-training

GLIP: Grounded Language-Image Pre-training Updates 12/06/2021: GLIP paper on arxiv https://arxiv.org/abs/2112.03857. Code and Model are under internal

Microsoft 862 Jan 01, 2023
Accepted at ICCV-2021: Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD)

Is it Time to Replace CNNs with Transformers for Medical Images? Accepted at ICCV-2021: Workshop on Computer Vision for Automated Medical Diagnosis (C

Christos Matsoukas 80 Dec 27, 2022
Yolact-keras实例分割模型在keras当中的实现

Yolact-keras实例分割模型在keras当中的实现 目录 性能情况 Performance 所需环境 Environment 文件下载 Download 训练步骤 How2train 预测步骤 How2predict 评估步骤 How2eval 参考资料 Reference 性能情况 训练数

Bubbliiiing 11 Dec 26, 2022
IndoNLI: A Natural Language Inference Dataset for Indonesian

IndoNLI: A Natural Language Inference Dataset for Indonesian This is a repository for data and code accompanying our EMNLP 2021 paper "IndoNLI: A Natu

15 Feb 10, 2022
Array Camera Ptychography

Array Camera Ptychography This repository provides the code for the following papers: Schulz, Timothy J., David J. Brady, and Chengyu Wang. "Photon-li

Brady lab in Optical Sciences 1 Nov 15, 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces

This repository contains source code for the paper Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces a

9 Nov 21, 2022
🧑‍🔬 verify your TEAL program by experiment and observation

Graviton - Testing TEAL with Dry Runs Tutorial Local Installation The following instructions assume that you have make available in your local environ

Algorand 18 Jan 03, 2023
Instant-nerf-pytorch - NeRF trained SUPER FAST in pytorch

instant-nerf-pytorch This is WORK IN PROGRESS, please feel free to contribute vi

94 Nov 22, 2022
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks

Sign-Agnostic Convolutional Occupancy Networks Paper | Supplementary | Video | Teaser Video | Project Page This repository contains the implementation

63 Nov 18, 2022
Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Learning Causal Semantic Representation for Out-of-Distribution Prediction This repository is the official implementation of "Learning Causal Semantic

Chang Liu 54 Dec 01, 2022
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio

Choi Sang Bum 203 Jan 05, 2023
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

Crafting Better Contrastive Views for Siamese Representation Learning (CVPR 2022 Oral) 2022-03-29: The paper was selected as a CVPR 2022 Oral paper! 2

249 Dec 28, 2022
Official implementation of FCL-taco2: Fast, Controllable and Lightweight version of Tacotron2 @ ICASSP 2021

FCL-Taco2: Towards Fast, Controllable and Lightweight Text-to-Speech synthesis (ICASSP 2021) Paper | Demo Block diagram of FCL-taco2, where the decode

Disong Wang 39 Sep 28, 2022
Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.

TFLite-HITNET-Stereo-depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite. Stereo depth e

Ibai Gorordo 22 Oct 20, 2022