![]() |
JPL's Wireless Communication Reference WebsiteChapter:
Analog and Digital Transmission. Section: Multi-Carrier Modulation
|
The following expectations are based on the research for the digital terrestrial television broadcasting [Zou and Wu].
It should be noted that for the additive white Gaussian channel, COFDM and single carrier modulation have comparable performance. However, the broadcasting channel for HDTV consists of various other impairments: random noise, impulse noise, multipath distortion, fading and interference. Also, at the high end of the UHF band the wavelengths are short (around 0.5 m). Thus, characteristics of these holes and peaks in this band are better modeled by a statistical distribution known as a Rayleigh distribution.
In addition to channel fading, time-variant signals caused by transmitter tower swaying, airplane fluttering and even tree swaying generate dynamic ghosts and consequently produce errors in digital transmission. With its parallel transmission structure as well as the use of trellis coding, COFDM systems might present advantages in fading and time-invariant environments.
The two-dimensional (time/frequency) signal feature in COFDM makes pilot and reference symbol insertion very flexible. Pilots can be inserted in frequency-domain (fixed carriers) and reference symbols in the time domain (fixed data packets). Because they are transmitted at the predetermined positions in the signal frame structure, it can be captured in the receiver whenever the frame synchronisation is recovered. In a frequency-selective channel, high correlation between the complex fading envelopes of the pilots and data must be ensured. The appropriate complex correction can be obtained by interpolating among the pilots. Cimini [Cimini] reported that interpolation in real and imaginary parts of the complex fading envelopes outperformed the interpolation in amplitude and phase.
For a single carrier system, equalization is done in the time domain. For a QAM system with a N-tap equalizer, there are about N complex multiplication, or 4N real multiplication-accumulation per input symbol. For a VSB system, its symbol rate needs to be twice that of a QAM system for the same data throughput. Assuming the same echo range as for the QAM system, a 2N-tap equalizer is required, which is a computational complexity of about 2N multiplication-accumulations per input symbol.
For a COFDM system, assuming multipath delay is less than the guard interval, a frequency domain one-tap equalizer could be used for each subchannel to correct the amplitude and phase distortions. This corresponds to 4 real multiplication-accumulations per data symbol. Additionally, the FFT operations requires a computational complexity that is proportional to C*log2M, where M is the size of the FFT and C is the constant between 1.5 to 4 depending on the FFT implementation.
The number of pilots and reference symbols used in a COFDM system determines the trade-off between payload capacity and transmission robustness.
Simulation results indicated that an OFDM system with equalization performed better than that of a single carrier system with a linear equalizer.
Theoretically, the difference of the peak-to-average power ratio between a multicarrier system and a single carrier system is a function of the number of carriers as:
where N is the number of carriers. When N=1000, the difference could be 30 dB. However, this theoretical value can rarely occur. Since the input data is well scrambled, the chances of reaching its maximum value are very low, especially when the signal constellation size is large.
Since COFDM signal can be treated as a series of independent and identically distributed carriers, the central limiting theorem implies that the COFDM signal distribution should tend to be Gaussian when the number of carriers, N, is large. Generally, when N>20, which is the case for most of the OFDM systems, the distribution is very close to Gaussian. Its probability of above three times (9.6 dB peak-to-average ratio) of its variance, or average power, is about 0.1 %. For four times of variance, or 12 dB peak-to-average power ratio, it is less than 0.01 %.
It should be pointed out that, for each COFDM subchannel, there is usually no pulse shaping implemented. The peak-to-average power ratio for each subchannel depends only on the signal constellation.
In common practice, signals could be clipped because of limited quantization levels, rounding and truncation during the FFT computation as well as other distribution parameters after D/A conversion. It is safe to say that the Gaussian model can be used as the upper bound for the COFDM signals.