Abstract
In this paper we present parameter estimation methods for IEEE 802.11ad transmission to estimate the frequency offset value and channel impulse response. Furthermore a less known low complexity signal processing architecture – the Recursive Discrete Fourier Transform (R-DFT) – is applied which may improve the estimation results. The paper also discusses the R-DFT and its advantages compared to the conventional Fast Fourier Transform.
Highlights
THE 802.11 standards of IEEE [1] describe the WirelessLocal Area Networks (WLAN), which were designed originally for temporary data transmission between a main network device and some users with high network coverage
We have investigated high throughput parameter estimation methods based on the Fourier Transform
We have shown parameter estimation methods for 802.11ad, where the Recursive Discrete Fourier Transform (R–Discrete Fourier Transform (DFT)) could be as efficient procedure as the Fast Fourier Transform (FFT)
Summary
THE 802.11 standards of IEEE [1] describe the WirelessLocal Area Networks (WLAN), which were designed originally for temporary data transmission between a main network device and some users with high network coverage. Wireless transmissions using high data rates call for fast and accurate parameter estimation for compensation of the imparities such as frequency and phase offset or fading effects caused by the radio channel. Our procedure uses the method of Moose as well, but the FFT is substituted by R–DFT, so the variance of the estimation becomes lower. The channel estimation method is given for transmissions where complementary sequences are applied [11, 12].
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