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Adaptive Equalizer

In modern digital communication systems data is transmitted at high speed through some band-limited channels (e.g. dial-up telephone network, high-frequency (HF) wireless radio channel etc.). Transmission over such channels is distorted by bandwidth restrictions (e.g. 3 kHz for most telephone line), multipath dispersion, and in HF radio channel Doppler fading may cause a problem as well. All these problems result in inter-symbol interference (ISI) in digital communication, which causes high data error rate.

For this reason an equalizer is generally required in the demodulation to compensate such interference before the data can be further processed. Because the channel or the distortion may change with time (time-variant), such equalizer must be adaptive. There are many kinds of equalizers: optimum equalizer estimates the maximal likelihood data sequence according to the channel knowledge. Such equalizer has usually very high computational complexity and is impractical or infeasible for time-variant channel.

Many kinds of low complexity equalizer are proposed. They include linear equalizer, which operates with different criteria e.g. peak distortion, minimum mean square error (MMSE), etc. Decision feedback equalizer (DFE) is a very popular nonlinear equalization scheme. In most case it is a combination of a linear equalizer and a nonlinear decision part, both parts can be implemented with different algorithms. Most recently, iterative equalizers (Turbo equalizers) are researched where channel estimation and channel decoding are considered as well.
All these techniques may be combined to reach a lower data error rate at low computational complexity.

This is a very old but still very active research area.

There are several kinds of adaptive equalizers in WAVECOM decoders: decision feedback equalizer based on Kalman algorithm, equalization based on estimated channel matrix and Turbo equalizer. These equalizers  are used in most HF-ACARS, MIL and STANAG modes, because most of them employ a bandwidth efficient single carrier 8-PSK modulation scheme for high speed data transmission (up to ca. 10k bps).

The improvement of bit error rate with equalizer is usually big, this depends on the signal quality and quality of the equalizer. The following two phase constellation diagrams show the demodulation with and without the decision feedback equalizer used in WAVECOM decoder. A real-time recorded signal from an HF-antenna is used. The phase constellation of the demodulation without the equalizer is almost equally distributed on the phase plane, whereas the one with the equalizer shows a quite concentrated distribution around the 8 possible phase points. The error rate of demodulation with an equalizer is usually small, in this example it is about 2%, the one without using an equalizer is about 60%, this makes the demodulated bits totally useless.

Equalizer Off
No Adaptive Equalizer
Equalizer On
WAVECOM Adaptive Equalizer



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