Blind Nonlinear Equalizer Research Paper

Blind Nonlinear Equalizer Research Paper-46
Blind equalization algorithms are essentially adaptive filtering algorithms designed such that they do not require the external supply of a desired response to generate the error signal in the output of the adaptive equalization filter [4] .The algorithm itself generates an estimate of the desired response by applying a nonlinear transformation to sequences involved in the adaptation process [4] .Next, we adopt the concept of the MTIE measurement method from the telecommunication area to the world of equalization performance.

Blind equalization algorithms are essentially adaptive filtering algorithms designed such that they do not require the external supply of a desired response to generate the error signal in the output of the adaptive equalization filter [4] .The algorithm itself generates an estimate of the desired response by applying a nonlinear transformation to sequences involved in the adaptation process [4] .Next, we adopt the concept of the MTIE measurement method from the telecommunication area to the world of equalization performance.

It should be pointed out that for the noiseless and ideal case the equalized output is a delayed version of the input multiplied by a constant phase shift ( is the equalizer’s tap length. New Tool for Equalization Performance Analysis In this section we introduce our new proposed tool for the blind equalization performance analysis based on a network clock synchronization measurement method, namely, the MTIE measurement method. The clock TIE and MTIE measurements in the OSA 4520 GPS-SP, a stand-alone GPS receiver.

(a) The clock TIE measurement the in OSA 4520 GPS-SP GPS receiver.

The ISI, BER and MSE provide long term statistical information in the steady state region (convergence state).

Thus, for instance, there may be cases where two different simulation results obtained in the convergence region with different channels (but using the same algorithm for reducing the ISI), may lead approximately to the same residual ISI but may have different short term statistical information.

Up to now, the Mean Square Error (MSE) criteria, the residual Inter-Symbol Interference (ISI) and the Bit-Error-Rate (BER) were used to analyze the equalization performance of a blind adaptive equalizer in its convergence state.

In this paper, we propose an additional tool (additional to the ISI, MSE and BER) for analyzing the equalization performance in the convergence region based on the Maximum Time Interval Error (MTIE) criterion that is used for the specification of clock stability requirements in telecommunications standards.

Thus, our new proposed tool might be considered as a more sensitive tool compared to the ISI and MSE method. Introduction In data communication, signals transmitted between remote locations often encounter a signal-altering physical channel (in wired communications or in wireless communications).

These physical channels may cause signal distortion, including echoes and frequency-selective filtering of the transmitted signal [1] .

MTIE is historically one of the main time-domain quantities for the specification of clock stability requirements in telecommunications standards [14] .

Among the quantities considered in international standards for specification of phase and frequency stability requirements, the MTIE has played historically a major role for characterizing time and frequency performance in digital telecommunications networks [15] [16] [17] [18] [19] and is a rough measure of the peak time deviation of a clock with respect to a known reference [20] .

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