SquareRootRaisedCosineFilter

Square Root Raised Cosine Filter
Digital Communication, 4th Edition Chapter 9: Signal Design for Band-Limited Channels
John G. Proakis
Introduction We consider the problem of signal design when the channel is band-limited to some specified bandwidth of W
Hz.The channel may be modeled as a linear filter having an equivalent low-pass frequency response C ( f ) that is zero for | f | >W
.
Our purpose is to design a signal pulse g (t ) in a linearly modulated signal, represented as
that efficiently utilizes the total available channel bandwidth
W .When the channel is ideal for | f | ≤W , a signal pulse can be designed that allows us to transmit at symbol rates comparable to or exceeding the channel bandwidth W .
When the channel is not ideal, signal transmission at a symbol rate equal to or exceeding W results in inter-symbol interference (ISI)among a number of adjacent symbols.
()()
n n
v t I g t nT =−∑
For our purposes, a band-limited channel such as a telephone channel will be characterized as a linear filter having an equivalent low-pass frequency-response characteristic C ( f ), and its equivalent low-pass impulse response c (t
).
Then, if a signal of the form
is transmitted over a band-pass telephone channel, the equivalent low-pass received signal is
where z (t ) denotes the additive noise.
()()()()
()()()
t z t c t v t z d t c v t r l +∗=+−=∫∞∞− τττ()()[]
t f j c e t v t s π2Re =
Alternatively, the signal term can be represented in the frequency domain as V ( f )C ( f ), where V ( f ) = F [v (t )].
If the channel is band-limited to W Hz, then C ( f ) = 0 for | f | > W .
As a consequence, any frequency components in V ( f ) above | f | = W will not be passed by the channel, so we limit the bandwidth of the transmitted signal to W Hz.
Within the bandwidth of the channel, we may express C ( f ) as
where |C ( f )|: amplitude response.
( f ): phase response.The envelope delay characteristic :()()()f j e
f C f C θ=()()df
f d f θπτ21−=
A channel is said to be nondistorting or ideal if the amplitude
response |C( f )| is constant for all | f | ≤W and ( f ) is a linear function of frequency, i.e., ( f ) is a constant for all | f | ≤W. If |C( f )| is not constant for all | f | ≤W, we say that the channel
distorts the transmitted signal V( f ) in amplitude.
If ( f ) is not constant for all | f | ≤W, we say that the channel
distorts the signal V( f ) in delay.
As a result of the amplitude and delay distortion caused by the
nonideal channel frequency-response C( f ), a succession of pulses transmitted through the channel at rates comparable to the bandwidth W are smeared to the point that they are no longer distinguishable as well-defined pulses at the receiving terminal. Instead, they overlap, and thus, we have inter-symbol interference(ISI).
Fig. (a) is a band-limited pulse having zeros periodically spaced
in time at T, 2T, etc.
If information is conveyed by the pulse amplitude, as in PAM, for
example, then one can transmit a sequence of pulses, each of which has a peak at the periodic zeros of the other pulses.
However, transmission of the pulse through a channel modeled as
having a linear envelope delay ( f ) [quadratic phase ( f )] results in the received pulse shown in Fig. (b), where the zero-crossings that are no longer periodically spaced.
A sequence of successive pulses would no longer be
distinguishable. Thus, the channel delay distortion results in ISI. It is possible to compensate for the nonideal frequency-response
of the channel by use of a filter or equalizer at the demodulator. Fig. (c) illustrates the output of a linear equalizer that
compensates for the linear distortion in the channel.
The equivalent low-pass transmitted signal for several different types of digital modulation techniques has the common form
where {I n }: discrete information-bearing sequence of symbols.
g (t ): a pulse with band-limited frequency-
response G ( f ), i.e., G ( f ) = 0 for | f | > W
.
This signal is transmitted over a channel having a frequency response C ( f ), also limited to | f | ≤W
.
The received signal can be represented as where and z (t ) is the AWGN.()()()
t z nT t h I t r n n l +−=∑∞
=0()()
∑∞
=−=0n n nT t g I t v ()()()∫∞
∞−−=τττd t c g t h
Suppose that the received signal is passed first through a filter and then sampled at a rate 1/T samples/s, the optimum filter from the point of view of signal detection is one matched to the received pulse. That is, the frequency response of the receiving filter is H*( f
).
We denote the output of the receiving filter as
where
x (t ): the pulse representing the response of the receiving filter to the input pulse h (t ).
v (t ): response of the receiving filter to the noise z (t ).
()()()
∑∞=+−=0n n t v nT t x I t y
If y (t ) is sampled at times t = kT + 0, k = 0, 1,…, we have
or, equivalently,
where 0: transmission delay through the channel.The sample values can be expressed as
()()()
0000τττ+++−=≡+∑∞
=kT v nT kT x I y kT y n n k 0, 0,1,...
k n k n k n y I x v k ∞
−==+=∑0001, 0,1,...k k n k n k n n k y x I I x v k x ∞
−=≠⎛⎞⎜⎟=++=⎜⎟⎜⎟⎝⎠∑
We regard x 0as an arbitrary scale factor, which we arbitrarily set equal to unity for convenience, then
where I k : the desired information symbol at the k-th
sampling instant.: ISI v k :additive Gaussian noise variable at the k-th sampling instant.
k
k n n n k n k k v x I I y ++=∑∞
≠=−0∑∞
≠=−k
n n n k n x I 0
The amount of ISI and noise in a digital communication system
can be viewed on an oscilloscope.
For PAM signals, we can display the received signal y(t) on the
vertical input with the horizontal sweep rate set at 1/T.
The resulting oscilloscope display is called an eye pattern.
Eye patterns for binary and quaternary amplitude-shift keying
(or PAM):
The effect of ISI is to cause the eye to close.
Thereby, reducing the margin for additive noise to cause errors.
Effect of ISI on eye opening:
ISI distorts the position of the zero-crossings and causes a
reduction in the eye opening.
Thus, it causes the system to be more sensitive to a
synchronization error.
For PSK and QAM, it is customary to display the “eye pattern”as
a two-dimensional scatter diagram illustrating the sampled values {y
} that represent the decision variables at the sampling instants.
k
Two-dimensional digital “eye patterns.”
Assuming that the band-limited channel has ideal frequency-response, i.e., C ( f ) = 1 for | f | ≤W , then the pulse x (t ) has a spectral characteristic X ( f ) = |G ( f )|2
, where
We are interested in determining the spectral properties of the pulse x (t
), that results in no inter-symbol interference.
Since the condition for no ISI is
k
k
n n n k n k k v x I I y ++=∑∞≠=−0()()()
1 00 0k k x t kT x k =⎧⎪=≡=⎨≠⎪⎩()()∫−=W
W ft j df
e f X t x π2( )
Nyquist pulse-shaping criterion (Nyquist condition for zero ISI)
The necessary and sufficient condition for x (t ) to satisfy
is that its Fourier transform X (f ) satisfy
()()()1 00 0n x nT n =⎧⎪=⎨≠⎪⎩
()T
T m f X m =+∑∞
−∞=
Proof:
In general, x (t ) is the inverse Fourier transform of X ( f
). Hence,
At the sampling instant t = nT ,
()()∫∞∞−=df
e f X t x ft j π2()()∫∞∞−=df
e f X nT x fnT j π2
Breaking up the integral into integrals covering the finite range of 1/T , thus, we obtain
where we define B ( f ) as ()()()()()()()2122212122'121221212212 ''
m T j fnT m T m T j f nT T m T j fnT T m T
j fnT T x nT X f e df
X f m T e df X f m T e df B f e df ππππ∞
+−=−∞∞−=−∞∞−=−∞−=
=+⎡⎤=+⎢⎥⎣⎦
=∑∫∑∫
∑∫∫()()
∑∞
−∞=+=
m T m f X f B '2121:,2211':,22'm f f T m m f T T f T T df df =+−+⎡⎤⎢⎥⎣⎦−⎡⎤⎢⎥⎣⎦=(1)
Obviously B ( f ) is a periodic function with period 1/T , and, therefore, it can be expanded in terms of its Fourier series coefficients {b n } as
where
Comparing (1) and (2), we obtain ()2j nfT n n B f b e π∞=−∞=
∑()12212T nfT n T b T B f e df π−−=∫()
nT Tx b n −=(2)
()()()Recall that the conditions for
no ISI are (from ):
1 00 0k k x t kT x k ∗=⎧⎪=≡=⎨≠⎪⎩
Therefore, the necessary and sufficient condition for
to be satisfied is that which, when substituted into , yields or, equivalently
This concludes the proof of the theorem.
()()
00 0n T n b n =⎧⎪=⎨≠⎪⎩()∑∞
−∞==n nfT j n e b f B π2()T
f B =()T
T m f X m =+∑∞−∞=k
k n n n k n k k v x I I y ++=∑∞
≠=−0
Suppose that the channel has a bandwidth of W . Then C ( f ) ≣0 for | f | > W and X ( f ) = 0 for | f | > W .When T < 1/2W (or 1/T > 2W )
Since consists of nonoverlapping replicas of X ( f ), separated by 1/T , there is no choice for X ( f ) to ensure B ( f ) ≣T in this case and there is no way that we can design a system with no ISI.()()∑+∞
∞−+=T n f X f B
When T = 1/2W , or 1/T = 2W (the Nyquist rate), the replications of X ( f ), separated by 1/T , are shown below:
In this case, there exists only one X ( f ) that results in B ( f ) = T , namely,which corresponds to the pulse
()()()
0 T f W X f otherwise ⎧<⎪=⎨⎪⎩()()sin sinc t T t x t t T T πππ⎛⎞=≡⎜⎟⎝⎠
The smallest value of T for which transmission with zero ISI is
possible is T= 1/2W, and for this value, x(t) has to be a sinc function.
The difficulty with this choice of x(t) is that it is noncausal and
nonrealizable.
A second difficulty with this pulse shape is that its rate of
convergence to zero is slow.
The tails of x(t) decay as 1/t; consequently, a small mistiming
error in sampling the output of the matched filter at the demodulator results in an infinite series of ISI components. Such a series is not absolutely summable because of the 1/t
rate of decay of the pulse, and, hence, the sum of the resulting ISI does not converge.
When T> 1/2W, B( f ) consists of overlapping replications of
X(f) separated by 1/T:
In this case, there exist numerous choices for X( f ) such that
X( f ) such that B( f ) ≣T.
A particular pulse spectrum, for the T > 1/2W case, that has desirable spectral properties and has been widely used in practice is the raised cosine spectrum .
Raised cosine spectrum:
: roll-off factor. (0 ≤ ≤1)
()1 0211-11cos 222T 21 0 2rc T f T T T X f f f T T f T βπβββββ⎧−⎛⎞≤≤⎜⎟⎪⎝⎠⎪⎪⎧⎫⎡⎤−+⎪⎛⎞⎛⎞=+−≤≤⎨⎨⎬⎜⎟⎜⎟⎢⎥⎝⎠⎝⎠⎣⎦⎩⎭⎪⎪+⎛⎞⎪>⎜⎟⎪⎝⎠⎩
The bandwidth occupied by the signal beyond the Nyquist frequency 1/2T is called the excess bandwidth and is usually expressed as a percentage of the Nyquist frequency. = 1/2 => excess bandwidth = 50 %.
= 1 => excess bandwidth = 100%.
The pulse x (t ), having the raised cosine spectrum, is
x (t ) is normalized so that x (0) = 1.
()()()()()22222241cos sin 41cos sin T
t T t T t c T
t T t T t T t t x βπβπβπβππ−=−=
Pulses having a raised cosine spectrum:
For =0, the pulse reduces to x(t) = sinc( t/T), and the
symbol rate 1/T= 2W.
When = 1, the symbol rate is 1/T= W.
In general, the tails of x (t ) decay as 1/t 3for
> 0.
Consequently, a mistiming error in sampling leads to a series
of ISI components that converges to a finite value.Because of the smooth characteristics of the raised cosine spectrum, it is possible to design practical filters for the
transmitter and the receiver that approximate the overall desired
frequency response.
In the special case where the channel is ideal, i.e., C ( f ) = 1,| f | ≤W , we have
where G T ( f ) and G R ( f ) are the frequency responses of the two filters.
()()()
f G f G f X R T rc =
If the receiver filter is matched of the transmitter filter, we have X rc ( f )= G T ( f ) G R ( f ) = | G T ( f )|2. Ideally,
and G R ( f ) = , where t 0is some nominal delay that is required to ensure physical realizability of the filter.
Thus, the overall raised cosine spectral characteristic is split evenly between the transmitting filter and the receiving filter.An additional delay is necessary to ensure the physical realization of the receiving filter.
()f G T ∗
()()02ft j rc T e f X f G π−=
Implementation of Square Root Raise Cosine Filter
Simplified System Architecture Transmitter
SRRC-TX DAC LPF
DAC SRRC-RX
Receiver
Design of SRRC
Operation of the SRRC-TX module includes:
Over-sampling
Over-sampling rate is a system design issue (performance
vs. cost).
For a over-sampling rate = 4, we pad three zeros between
each sample.
Finite-impulse-response (FIR) filter
The FIR filter acts as a low pass filter.
The FIR filter is a square root raised cosine filter with roll-
off factor = 0.22.
Detail of FIR Filter Module
h(0)
h(1)h(2)Input
0∑
∑∑∑∑∑h(n/2)∑∑
Raised Cosine Filter
Raised cosine spectrum:
The pulse x (t ), having the raised cosine spectrum, is
()1 0211-11cos 222T 21 0 2rc T f T T T X f f f T T f T βπβββββ⎧−⎛⎞≤≤⎜⎟⎪⎝⎠⎪⎪⎧⎫⎡⎤−+⎪⎛⎞⎛⎞=+−≤≤⎨⎨⎬⎜⎟⎜⎟⎢⎥⎝⎠⎝⎠⎣⎦⎩⎭⎪⎪+⎛⎞⎪>⎜⎟⎪⎝⎠⎩
()()()()()222222sin cos cos sin 1414t T t T t T x t c t T t T t T t T
ππβπβππββ==−−
The cosine roll-off transfer function can be achieved by using identical square root raised cosine filter at the transmitter and receiver.
The pulse SRRC (t ), having the square root raised cosine spectrum, is
()()()2sin 14cos 114where is the inverse of chip rate (0.2604167s)and = 0.22.
C C C C C C t t t T T T SRRC t t t T T T πββπβπβµβ⎛⎞⎛⎞−++⎜⎟⎜⎟⎝⎠⎝⎠=⎛⎞⎛⎞⎜⎟−⎜⎟⎜⎟⎝⎠⎝⎠
≈()rc X f
Because SRRC(t) is non-causal, it must be truncated, and pulse
shaping filter are typically implemented for 6T
C about the t= 0
point for each symbol.
For an over-sampling rate of 4, n is equal to 48.。