Abstract
A time-domain (TD) channel estimation (CE) technique is proposed in this paper to enhance the CE performance of IEEE 802.11p standards in cases when the pilot density is insufficient to accurately estimate channel states in rich-scattering environments. This technique is based on a least squares (LS) algorithm and assisted from Zadoff-Chu (ZC) sequences arranged into the symbol prefix and training preambles. The channel conditions tested in this paper were comprehensively simulated in urban, suburb and express-way scenarios.
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- AGC:
-
automatic gain control
- ASTM:
-
American Society for Testing and Materials
- AWGN:
-
Additive White Gaussian Noise
- BER:
-
bit-error rate
- CE:
-
channel estimation
- CIR:
-
channel impulse response
- CP:
-
cyclic prefix
- DFT:
-
discrete Fourier transform
- DSRC:
-
Dedicated Short Range Communication
- FCC:
-
Federal Communications Commission
- FD:
-
frequency domain
- I2V:
-
infrastructure-to-vehicle
- IBI:
-
inter-block interference
- ICI:
-
inter-carrier interference
- IDFT:
-
inverse discrete Fourier transform
- ISI:
-
inter-symbol interference
- ITS:
-
Intelligent Transportation System
- LOS:
-
line-of-sight
- LS:
-
least squares
- NLOS:
-
non-line-of-sight
- OFDM:
-
orthogonal frequency division multiplexing
- OLA:
-
overlap-add
- PHY:
-
physical-layer
- PRP:
-
pseudo random postfix
- rms:
-
root-mean-square
- SIC:
-
self-Interference cancellation
- TD:
-
time domain
- TDLE:
-
time domain linear extrapolation
- TDLSE:
-
time domain least squares estimation
- V2I:
-
vehicle-to-infrastructure
- WAVE:
-
Wireless Access in Vehicular Environments
- ZC sequence:
-
Zadoff-Chu sequences
- ZP:
-
zero-padding
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Lin, CS., Sun, CK., Lin, JC. et al. Performance evaluations of channel estimations in IEEE 802.11p environments. Telecommun Syst 52, 1731–1742 (2013). https://doi.org/10.1007/s11235-011-9480-x
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DOI: https://doi.org/10.1007/s11235-011-9480-x