Aug 12, 2015 Atheros 9285 WiFi card works sometimes after boot, but usually goes to 'Limited Access' after a while. I have tried.260 and.298 and.308 drivers from Microsoft and from ASUS support, but all same result. Have made several system tweaks including deselecting power off while idle. W10 does not like the Atheros card or its driver. Discuss: Atheros AR9485 802.11 b/g/n WiFi Adapter (1x1) - network adapter Series Sign in to comment. Be respectful, keep it civil and stay on topic. The package provides the installation files for Qualcomm Atheros AR938x Wireless Network Adapter Driver 10.0.0.339. If the driver is already installed on your system, updating (overwrite-installing) may fix various issues, add new functions, or just upgrade to the available version. The package provides the installation files for Qualcomm Atheros AR9380 802.11a/g/n WiFi Adapter Driver version 10.0.0.327. If the driver is already installed on your system, updating.

Atheros CSI Tool

Overview (Cite this tool)

Channel State Information (CSI)

CSI in thoery. Channel state information (CSI) represents the coefficent of a wireless channel. In Wi-Fi systems using OFDM modulation, the CSI of every sub-carrier is a complex number, i.e., csi = a+bj, as shown in following figure. The CSI of a packet transmitted with M transmitting antennas, N receiving antennas, 20MHz channel bandwitdh, is a complex matrix of size M×N×56. If the bandwith is 40MHz, then the size of CSI matrix becomes M×N×114.

CSI from Wi-Fi NIC. Wi-Fi NIC use several bits to reprensent the value of a and b. For example, Atheros Wi-Fi NIC uses 10 bits to give the value of a and another 10 bits to describe b. (We note that other Wi-Fi NIC may give the CSI with different resolution, e.g., Intel 5300 Wi-Fi NIC uses 8 bits to describe the value of a and b.) The CSI obtained from Atheros Wi-Fi NIC are thus complex numbers whose imag and real part fall into the range of [-512, 512]. The right figure plots the distribution of four CSI matrix (1×56) we measured using Atheros QCA9558. During the measurement, the channel is stable. Theoretically, the CSI should be the same in the complex plane. The measurements data, however, exhibit the opposite patterns. Let's then take a closer look at the amplitude and phase of the measured CSI.

The following figure (a) and (b) depicts the amplitude and amplitude in dB level of four CSI. We see that the amplitudes are similar in shape with each other but with offsets with each other. Figure c plots the phase of four CSI. Similarly, the phase has obvious offset across CSIs. The phase offsets results in the rotation of CSI in the complex plane, as shown in above figure.

Atheros CSI tool

Atheros-CSI-Tool is an open source 802.11n measurement and experimentation tool. It enables extraction of detailed PHY wireless communication information from the Atheros WiFi NICs, including the Channel State Information (CSI), the received packet payload, and other additional information (the time stamp, the RSSI of each antenna, the data rate, etc.). Atheros-CSI-Tool is built on top of ath9k, which is an open source Linux kernel driver supporting Atheros 802.11n PCI/PCI-E chips, so theoretically this tool is supposed to be able to support all types of Atheros 802.11n WiFi chipsets. We have tested it on Atheros AR9580, AR9590, AR9344 and QCA9558. Atheros-CSI-Tool is open source and all functionalities are implemented in software without any modification to the firmware. Therefore, you are able to extend the functionalities of Atheros-CSI-Tool with your own codes under the GPL license. You are welcome to get back to us with new functionalities contributed to the tool.

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Atheros-CSI-Tool works on various Linux distribution, e.g., Ubuntu, OpenWRT, Linino, and so on. Different Linux distribution works on different hardware. Ubuntu works for personal computers like laptops or desktops. OpenWRT works for embeded devices such as Wi-Fi routers. Linino works for IoT devices, such as Arduino YUN. We provides the source code for Ubuntu version and OpenWRT version of Atheros CSI tool. The installation instructions can be found from our WiKi. We also provide the PDF version of the installation guide for Ubuntu version and OpenWRT version .

SWAN: Stitched Wi-Fi ANtennas

We build a general-purpose antenna extension solution with commodity Wi-Fi using our Atheros CSI tool. The proposed solution, SWAN, builds an array of stitched antennas extended from the radio chains of commodity Wi-Fi. SWAN has low hardware cost and provides easy-to-use interfaces embedded in the Linux kernel. Integrated with Atheros CSI tool, SWAN collects CSI from all the antennas in the array and group the CSI into a large matrix, which is further used for Wi-Fi sensing purposes such as estimating the AoA. The architecture of SWAN is shown in the following figure. We also build a prototype of SWAN using commodity devices, including Wi-Fi AP, Arduino and RF switches. More information about SWAN could be found from this page.

Users

The tool has been used by over 1100 registered users from top research institutes, universities, technology companies including MIT, Stanford, Princeton, Cambridge, TUBerlin, Tsinghua, Huawei, Samsung, etc. Below are the list of published papers from our users based on this tool.

Atheros Ar9380 Mojave

OpenWRT version

[BuildSys]Soltanaghaei, Elahe and Sharma, Rahul Anand and Wang, Zehao and Chittilappilly, Adarsh and Luong, Anh and Giler, Eric and Hall, Katie and Elias, Steve and Rowe, Anthony
Robust and Practical WiFi Human Sensing Using On-device Learning with a Domain Adaptive Model, BuildSys 2020
[Sensors]Wenxu Wang, Damián Marelli, Minyue Fu
Fingerprinting-Based Indoor Localization Using Interpolated Preprocessed CSI Phases and Bayesian Tracking, Sensors 2020
[IJSEN]Mohammad Hadi Kefayati , Vahid Pourahmadi , and Hassan Aghaeinia
Wi2Vi: Generating Video Frames From WiFi CSI Samples, IEEE Sensors Journal 2020
[MSN] Si Huang, Dong Wang, Run Zhao and Qian Zhang
Wiga: A WiFi-Based Contactless Activity Sequence Recognition System Based on Deep Learning, MSN 2020
[JIoT] L. Wang, H. An, H. Zhu and W. Liu
MobiKey: Mobility-Based Secret Key Generation in Smart Home, IEEE Internet of Things Journal 2020
[Arxiv]Zhiping Jiang, Tom H. Luan, Han Hao, Jing Wang, Xincheng Ren, Kun Zhao, Wei Xi, Yueshen Xu, Rui Li
Eliminating the Barriers: Demystify Wi-Fi Baseband Design And Introduce PicoScenes Wi-Fi Sensing Platform,Arxiv 2020
[Arxiv]Paul Staat, Harald Elders-Boll, Markus Heinrichs, Rainer Kronberger, Christian Zenger, Christof Paar
Intelligent Reflecting Surface-Assisted Wireless Key Generation for Low-Entropy Environments, Arxiv 2020
[WiMob] Israel Elujide, Yonghe Liu
An Entropy-Based WLAN Channel Allocation using Channel State Information, WiMob 2020
[Arxiv]Yang Liu, Tie

Ar9380 Atheros