Baseband Noise Suppression in Ofdm Using Kalman Filter Page: 13
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CHAPTER 4
PROBLEM DEFINITION AND SYSTEM MODEL
4.1 Problem Statement
Advances in very-large-scale integration technology has led to miniaturization of
hardware in digital devices reducing the size of transistors on chips to a considerable amount.
One effect of this downsizing is introduction of 1/f base band noise.
As the metal oxide gate on transistors is decreased to increase the speed and packing
density the flicker noise or 1/f base band noise increases. This noise is additive in nature and due
to its spectral shape mainly effects the frequencies around direct conversion.[8] Such baseband
noise is common in Analog Frond Ends using direct conversion RF (DCR) [9], used by OFDMA
transceivers.
We estimate 1/f noise using noise model in [10] and suppress 1/f noise by subtracting the
estimated 1/f noise from the received signal. The estimation of 1/f noise is done using Kalman
filter, which computes new estimate for every received signal [11 ].
4.2 System Model
In order to estimate 1/f noise we follow the noise model given in [10]. This model is
developed using N+1 first-order differential equations, where N is a model parameter. The 1/f
noise model is given by
r N
Y2N(t) - Y2N(t) - Y2N(0) + 2 v(t) - p(t) - 2 y2k(t) (3.2.1)
k=113
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Rodda, Lasya. Baseband Noise Suppression in Ofdm Using Kalman Filter, thesis, May 2012; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc115147/m1/19/: accessed April 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .