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제안 방법
- In this work, we have introduced an adaptive equalizer for the blind equalization of QAM signals that minimizes a cost function composed of equalized and sliced symbols. The contribution lies in the technique to incorporate the sliced symbols in the multi-modulus type weight adaptation process.
- Next, we compare the performance of the MMA and S- MMA algorithms by measuring the SER versus SNR. Figures 7(a), 7(b) and 7(c) depict SER plots for 16-, 64-, and 256-QAM constellations, respectively.
- In this work, we have introduced an adaptive equalizer for the blind equalization of QAM signals that minimizes a cost function composed of equalized and sliced symbols. The contribution lies in the technique to incorporate the sliced symbols in the multi-modulus type weight adaptation process. The proposed implementation is referred to as the sliced multimodulus algorithm (S-MMA).
- We define y(n) = wT(n)x(n) as the equalizer output and a (n) is the outcome of the decision device (slicer), computed as the closest constellation symbol to y(n). The objective is to achieve an estimate of the actual transmitted signal a(n) without using a training signal available at the rsceive; such that at(n') =a(n- △), whers △ is the bulk delay due to the channel-equalizer combined impulse response. In this case, the equalizer perfectly estimates the symbol that was transmitted △ baud times earlier.
- The S- MMA cost function exhibits a much lower misadjustment compared to CMA and MMA. The performance evaluation of the proposed equalization approach is provided for a typical voice-band telephone channel using the transient and steadystate behavior of residual ISI and SER, respectively.
- The proposed implementation is referred to as the sliced multimodulus algorithm (S-MMA). The steady-state misadjustment analysis of an existing technique and the proposed one is carried out. Both analysis and simulations demonstrate the advantage of using the proposed cost function over the traditional multimodulus cost function associated with the conventional MMA.
이론/모형
- In this paper, we propose a sliced multi-modulus algorithm (S-MMA) for application to digital transmission employing QAM signals. In the S-MMA, the cost function embeds the dispersion constant and the slicer output.
- The proposed algorithm is thus devised by embedding the sliced symbols in the dispersion constants; it is named the sliced multi-modulus algorithm (S-MMA). The S-MMA cost function is
- The contribution lies in the technique to incorporate the sliced symbols in the multi-modulus type weight adaptation process. The proposed implementation is referred to as the sliced multimodulus algorithm (S-MMA). The steady-state misadjustment analysis of an existing technique and the proposed one is carried out.
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