Project:%20IEEE%20P802.15%20Working%20Group%20for%20Wireless%20Personal%20Area%20Networks%20(WPANs) - PowerPoint PPT Presentation

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Project:%20IEEE%20P802.15%20Working%20Group%20for%20Wireless%20Personal%20Area%20Networks%20(WPANs)

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Robust Ranging Algorithm for UWB Radio ... Complexity of the Proposed Algorithms. 992 op. (= 32 x 31, assuming preamble symbols is 31) ... – PowerPoint PPT presentation

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Title: Project:%20IEEE%20P802.15%20Working%20Group%20for%20Wireless%20Personal%20Area%20Networks%20(WPANs)


1
  • Project IEEE P802.15 Working Group for Wireless
    Personal Area Networks (WPANs)
  • Submission Title Robust Ranging Algorithm for
    UWB radio
  • Date Submitted 19 July, 2005
  • Source Cheolhyo Lee (1), Jae Young Kim (1), Eun
    Chang Choi (1), Chong Hyun Lee (2)
  • Company (1) Electronics and Telecommunications
    Research Institute (ETRI) (2) Seokyeong
    University
  • Address (1) 161 Gajeong-dong, Yuseong-gu,
    Daejeon, Republic of Korea (2) 16-1
    Jungneung-Dong, Sungbuk-Ku, Seoul, Republic of
    Korea
  • Voice(1) 82 42 860 5577, (2) 82 2 940 7472,
    FAX (1) 82 42 860 5218 (2) 82 2 919 0345
  • E-Mail (1) clee7_at_etri.re.kr, (2)
    chonglee_at_skuniv.ac.kr
  • Abstract The robust ranging algorithm is
    proposed for the alternative PHY for 802.15.4a
  • Purpose This submission is in response to the
    committees request to submit the proposal
    enabled by an alternate 802.15 TG4a PHY
  • Notice This document has been prepared to assist
    the IEEE P802.15. 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
    P802.15.

2
Robust Ranging Algorithm for UWB Radio
Electronics and Telecommunications Research
Institute (ETRI) Seokyeong University Republic
of Korea
3
Outline
  • Proposed Algorithm
  • Proposed algorithm flow summary
  • Comparisons of complexities with MERL and I2R
  • Simulations for CM1
  • Simulations for CM8
  • Conclusions

4
Proposed Algorithm
TOA Estimator
5
Other Architectures for Comparison
FT RD
TOA Estimator
I2R
MERL
6
Proposed Algorithm Flow
  • Algorithm based High Resolution TOA

Finding the Subspace
Finding Spectrum
Finding TOA
7
Proposed Algorithm Summary
  • Required Operation
  • Correlation
  • FFT
  • Comparison
  • Complexity (N No. of Energy Block)
  • R N point Correlation
  • FFT N point FFT
  • Noise Subspace N point scalar and vector
    multiplication
  • Peak Finding N point comparison

8
Complexity of the Proposed Algorithms
Algorithm Complexity N 32
Accumulation of signals (Preamble symbols-1) x 31 chip sequences adds. 992 op. ( 32 x 31, assuming preamble symbols is 31)
N point FFT (Two FFTs) 2x(N/2)log2N complex mults. 2xNlog2N complex additions 960 op. (2x80 complex mults 2x4x80 real mults. 2x2x80 real adds.) 640 op. ( 2x160 complex adds. 2x320 real adds.)
Correlation 3xNN real multiplication 3xN(N-1) real addition 3072 op. (3x1024 real mults.) 2976 op. ( 3x992 real adds.)
Subspace N complex multiplication 192 op. (128 real mults. 64 real adds.)
Finding Peaks N-1 Comparison 31 comparisons
Total Operations 8863 op. ( Complexity O(N2) )
Memory size N 32
9
Complexity of Algorithm by MERL
Algorithm Complexity N 32
N x N image (N x N) x 3 rearrange operations 3072 op. ( 32 x 32 x 3)
2D to 1D conversion (Preamble symbols-1) x 31 chip sequences adds. 992 op. ( 31 x 32)
Total operation 4064 op. ( Complexity O (N2) )
Memory size N x N N2 1024
- Complexity Ratio Proposed/MERL 8863/4064
218 -gt Two times
Sorting (3 point Median Filtering) 32
rearrange operations (Compare allocation) 9
10
Complexity of Algorithm by I2R
Algorithm Complexity N 32
Sliding Correlation NN real adds. 1024 real adds.
N/2 x N image sliding correlation x 31 chip sequences 31744 op. ( 1024 x 31)
2D to 1D conversion (Preamble symbols-1) x 31 chip sequences adds. 465 op. ( 15 x 31)
Total operation 32209 op. ( 31744465) ( Complexity O(N3) )
Memory size Preamble symbols x 31 chip sequences 496 ( 16 x 31)
- Complexity Ratio Proposed/I2R 8863/32209
27.4 -gt less than I2R
11
Simulation Parameters for CM1
  • CM1 Channel considered
  • Ts 1ns
  • SNR 822dB
  • 10 Frames are accumulated.
  • Three High Resolution Algorithms
  • Compare with MERL
  • True TOA 10

12
Simulation Results
  • SNR 8dB

True TOA
True TOA
13
Simulation Results
  • SNR 8dB

True TOA
True TOA
  • High Resolution TOA VS MERL

14
Simulation Results
  • SNR 9dB

True TOA
True TOA
15
Simulation Results
  • SNR 9dB

True TOA
True TOA
  • High Resolution TOA VS MERL

16
Simulation Results
  • SNR 14dB

True TOA
True TOA
17
Simulation Results
  • SNR 14dB

True TOA
True TOA
  • High Resolution TOA VS MERL

18
Simulation Results
  • SNR 17dB

True TOA
True TOA
19
Simulation Results
  • SNR 17dB

True TOA
True TOA
  • High Resolution TOA VS MERL

20
Simulation Results
  • SNR 22dB

True TOA
True TOA
21
Simulation Results
  • SNR 22dB

True TOA
True TOA
  • High Resolution TOA VS MERL

22
Simulation Parameters for CM8
  • CM8 Channel considered
  • Window length 64
  • Ts 1ns
  • SNR 1022dB
  • 5 Frames are accumulated.
  • High Resolution Algorithms
  • Compare with MERL
  • True TOA 10

23
Simulation Results
  • SNR 10dB

True TOA
24
Simulation Results
  • SNR 10 dB

True TOA
True TOA
  • High Resolution TOA VS MERL

25
Simulation Results
  • SNR 11dB

True TOA
26
Simulation Results
  • SNR 11 dB

True TOA
True TOA
  • High Resolution TOA VS MERL

27
Simulation Results
  • SNR 13dB

28
Simulation Results
  • SNR 13dB
  • High Resolution TOA VS MERL

29
Simulation Results
  • SNR 17dB

30
Simulation Results
  • SNR 17dB
  • High Resolution TOA VS MERL

31
Key Issue
  • Complexity
  • FFT is just the order of O(Nlog2(N))gt O(N)
  • What is the complexity of correlator?
  • -gt equal or greater than O(N2)
  • It depends on how many correlation operation is
    required
  • Order of complexity
  • Proposed algorithm MERL lt I2R

Proposed algorithm MERL I2R
Complexity O(N2) O(N2) O(N3)
32
Conclusions
  • Advantages
  • Low complexity and high performance
  • Small memory size
  • High performance for low SNR and SINR
  • Can be applied to Coherent system
  • Small TOA estimation error (by CM8 simulation)
  • Independent to signal waveform
  • Future works
  • Need comprehensive simulation
  • Consider the SOP environment
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