Project: IEEE P Working Group for Wireless Personal Area Networks(WPANs)
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1 Project: IEEE P Working Group for Wireless Personal Area Networks(WPANs) Title: Supporting document for FSK-based ranging in TG4m Date Submitted: Sept Source: Mi-Kyung Oh, Jae-Hwan Kim, Jae-Young Kim, and Sangsung Choi (), Soo- Young Chang (SYCA) Contact: Voice: , Re: Abstract: This contribution presents a supporting information for FSK-based ranging Purpose: Notice: This document has been prepared to assist the IEEE P It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P Slide 1
2 Outline The goal of this document is to give answers to the questions about FSK-based ranging presented in Doc This document includes Ranging performance in AWGN & Multipath channel environments
3 Ranging sequence Ranging in FSK PHY (1) Select best sequence for retrieving symbol transition timing Repetition of 01 pattern (preamble-like sequence) would be good Frequency Ts 2Ts 3Ts 4Ts Time Symbol transition Slide 3
4 Ranging sequence Ranging in FSK PHY (2) Preamble can be used FSK PHY Frame RMARKER PHY Layer Preamble & SFD Length 11-bit parity, etc SHR PHR PSDU Payload with CRC (2047-byte) FSK Modulation Slide 4
5 Simulation Environments (1) Simulation environments Data rate: FSK 200Kbps Ranging sequence: Preamble Operation clock used in FSK demodulator: 3.2MHz FSK demodulator type Quadricorrelator (QC) based frequency discriminator Frequency discrimination is achieved by applying the FSK signal and a delayed FSK signal to the inputs of a multiplier QC output for the received FSK signal 0 and 1 is represented as phase difference Symbol transition estimation Finding zero phase at QC output No clock drift environment Slide 5
6 Simulation Environments (2) Channel models 1. AWGN channel 2. Two-ray pseudo-static channel (considered in TG4g SUN) There is only one reflection that occurs about 1us later Average amplitude of the 2nd path is 10dB down on the first 3. Rician fading channel: 3-path model Max. Doppler shift: 100Hz Rician K factor: 5dB Path delay: [0, 1, 2] usec Average path gain: [0, -10, -13] db Slide 6
7 Simulation Environments (3) Symbol Transition Estimation TG4m FSK PHY packet format is used No FEC & interleaving, no spreading Symbol transition estimation is performed only for successful packet reception Slide 7
8 Simulation Results: AWGN & Timing error (CDF) ±20m ranging accuracy: 2σ 10-1 FSK (QC based demodulator + CDR) 100 SNR=33dB 90 QCBased - Timing-AWGN-QC.mat 2sigma: 95% SNR=15dB sigma: 67% 10-4 CDF (%) Eb/No [db] Slide Timing Error (meter)
9 Simulation Results: Two-Ray Pseudo-Static & Timing error (CDF) ±20m ranging accuracy: 1σ 10 0 FSK (QC based demodulator + CDR) SNR=33dB EdgeDetect - Timing-TwoRay.mat 2sigma: 95% 80 SNR=15dB sigma: 67% CDF (%) Eb/No [db] 10 Slide Timing Error (meter)
10 Simulation Results: Rician fading & Timing error (CDF) ±20m ranging accuracy: 1σ 10-1 FSK (QC based demodulator + CDR) EdgeDetect - Timing-Rician.mat 2sigma: 95% SNR=33dB SNR=15dB 60 1sigma: 67% 10-2 CDF (%) Eb/No [db] Slide Timing Error (meter)
11 Simulation Results In AWGN channel (LoS environment), the ranging performance is relatively good In multipath channels, some mechanisms for better performance would be required
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