Transmultiplexers
Overview
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Table of Contents
3.4.3 Transmultiplexers
An application of multirate digital signal processing in communications is in the channelization
of data streams. The goal of these techniques is to convert a TDM signal, seen in
Figure 3.53, into a FDM signal, seen in Figure 3.54; conversely, an FDM signal can be
converted in a TDM signal.

Figure 3.54: FDM Example.
TDM to FDM Conversion
Figure 3.55 shows a block diagram of a system that performs a TDM to FDM conversion.
Note the similarity in system layout between that seen in Figure 3.55 and that seen in
Figure 3.48, the basic form of a DFT filter bank synthesizer. The underlying architecture is
remarkably similar even though a specific type of interpolator structure and modulator can
be used. The TDM to FDM conversion converts a single data stream into a channelized
version of the original signal. The IDFT process collects several narrowband signals and
generates a single wideband signal that contains all the information received.
FDM to TDM Conversion
Figure 3.56 shows a block diagram of an FDMto TDMconversion system. The similarities
between this system layout and the basic form of a DFT filter bank analyzer as shown in
Figure 3.47 can be easily seen. Figure 3.47 may be considered as a specific case of the
more generalized system structure seen previously.

Figure 3.56: FDM to TDM.
Example: Watkins-Johnson’s Cellular Basestation Architecture
Wideband transceivers employing software radios can significantly reduce the cost and
complexity of basestations. Currently most of the deployed basestations utilize narrowband
transceiver technology in which each transceiver individually processes a separate
RF channel. In this implementation, the complexity of the system increases linearly with
the number of channels resulting in a fairly large and costly realization of the basestation.
On the contrary, a wideband transceiver processes the entire frequency band of interest
and uses low-cost digital signal processing instead of costly analog components to perform
individual transceiver functions on the signal at various stages.
A generic wideband receiver structure used in a basestation developed by Watkins-
Johnson, Inc.,10 is shown in Figure 3.57 [42]. In this implementation, the entire cellular
band of interest (e.g., North American cellular band A and B with extensions) is first downconverted
to baseband by a single RF tuner. The baseband signal with a bandwidth of approximately
14 MHz is then digitized by a single ADC, which is sampling at 30.72 MHz,
slightly above the Nyquist sampling rate. The output (real) of the ADC, which contains
all the channels in the cellular band, is digitally downconverted to individual I&Q complex
baseband channel signals by an oscillator tuned at the individual channel carriers (complex
modulation). The sampling rate of these individual complex signals is still that of the
ADC, i.e., 30.72 MHz. A decimation operation (lowpass filtering and downsampling) by a
factor of 384 is performed on these high-rate complex channel signals resulting in signals
with a sample rate of 80 kHz. The decimated channel signals are now ready for baseband
processing (demodulation). The baseband processing block requires an input sampling rate
that is an integer multiple of the baud (symbol) rate to facilitate symbol synchronization.
Usually the decimated signals’ sample rate is not an exact integer multiple of the baud rate.
So a further sample rate conversion is performed on the decimated signals before baseband
processing.
The part of the receiver that performs extraction of the individual radio channels from
the output of the ADC is called the channelizer. Reviewing Figure 3.57, it is clearly seen
that the structure of the channelizer is similar to the basic DFT filter bank analyzer explained
in Section 3.4.2. Alternately, according to the alternate implementation of the
DFT filter bank analyzer as in Section 3.4.2, the channelizer can be considered a bank of
complex-valued digital BPFs followed by mixers, downsamplers, and sample rate converters.
Figure 3.58 shows this representation of the channelizer where each complex BPF
Hk(ω) has a center frequency of
, which corresponds to a
particular RF channel.
Theoretically, a filter bank channelizer can extract any channel in the band (−Fs/2, Fs /2)
where Fs is the sampling rate of the channelizer input (output of ADC). This implies that
the complexity of a filter bank channelizer remains constant, independent of the number
of channels. The impulse responses of the bandpass filters are defined by hk(n) =
where h0(n) is a real causal LPF. It follows then that the frequency response
of the BPF Hk(ω) can be expressed as the modulated version of H0(ω), i.e.,
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