Planning to buy this to boost the receiver sensitivity: target around -100dBm. Probably going to use this with USRP B205 mini-i. Has anyone tried this? @MehdiHacks, any thoughts?

Can you imagine how complicated things can get when you try to do DSP with C++ instead of Python? Here is an example: Same function declaration in Python (#1 pic) and C++(#2 pic)

Whatever this does… It’s probably going to be complex. --> working on RF fingerprinting.

Fine frequency offset estimation and correction are working fine. Applied the combination of coarse and fine estimation to the whole sample starting from the SIG field. Now, I am going to verify the channel estimation.

I have started this thread regarding 802.11n, which includes the 1. Data capture 2. 802.11 Signal burst identification 3. Decoding and demodulation, overall, I aim to develop end-to-end software using USRP b205 to decode 802.11a/g/n. https://t.co/ifqJiMclAK

Coarse frequency estimation is correct. Now verifying the fine frequency offset correction.

Recommended: this is a good movie.

Going for F1: The movie today. It's been a long time since I've watched movies in a theater. Let's see how it goes. will share the experience...

I have messed up something. SIG field bits are not correcting decoding. Possible cause of error: 1. Coarse CFO Correction 2. Fine CFO correction 3. Channel Estimation 4. Symbol equalization 5. Desrambling 6. Viterbi decoding. out of this, anything could be not working...

Short training sequences are used for coarse carrier frequency offset correction. I did the calculation right, but instead of applying only to LTS, I applied it to the whole sample. Because of this, for the last 2 days I've been breaking my head.

This weekend I'm going to work on IEEE802.11n. Will use this thread to post all the updates. All the suggestions and questions are welcome.

Why are there so few people on https://t.co/2FdoAVztCR related to wireless communication and signal processing? I feel like an alien here.

Trying to use C++ with Python for complex computation. Using the Pybind11 library to bind the code. If you have a better idea, do let me know

@engineers_feed @wifimapapp @IEEEorg @IEEESpectrum This is the plot of one symbol of long training seuqence.

So finally, I have developed the short and long training sequences for IEEE802.11a. Now it's time to use the STS for time domain packet synchronization and LTS for fine frequency offset correction.

I was going through how to generate the STS and LTS. So basically, at the start of the signal burst, 10 symbols of STS and after that 2 symbols of LTS are present. These are helpful for signal detection and channel estimation. will share the result after implementing.

I have gained some understanding that, if we generate the STS and LTS according to the IEEE documentation and perform cross-correlation with the identified signal burst, then we can estimate the starting index of the STS and LTS.

Working on the development of end-to-end decoding of 802.11a/g. Plan to make it work for all sorts of 802.11 wifi variants. I'm having some difficulty identifying the frame structure boundaries. Do you have any suggestions? #802.11 #wifi

2. The distance over which the signal travels is called the line of sight distance. The signals may also get refracted, diffracted, and/or reflected from the Earth’s atmosphere, which causes them to bend and propagate along a slightly curved path over long distances.

Line of sight and Radio Horizon concept: 1. Line of Sight or LoS is a type of electromagnetic radiation where the electromagnetic waves will travel only along a direct path from the transmitter to the receiver. Formula: