Abstract

This paper focuses on the equalization of block transmissions with zero pad (ZP). If the channel impulse response length does not exceed the ZP length, it is possible to construct zero-forcing equalizers (ZFEs). Improved performance may be achieved using a minimum mean squared error (MMSE) equalizer. However, these equalizers are computationally intensive when a time-domain implementation is used. While the frequency-domain implementation of a ZFE has a lower complexity, it is prone to—potentially infinite—noise enhancement in the presence of spectral zeros. The MMSE equalizer in the frequency domain performs better by limiting the noise enhancement but still loses all information stored at the spectral zeros. This paper presents a method to exploit the redundancy of the padding to recover this lost information, leading to two new frequency-domain equalizers, a ZFE and an MMSE-like equalizer. These two equalizers are evaluated through simulations. They have a performance close to the time-domain equalizers, while maintaining the low complexity of the original frequency-domain equalizers. The equalizers are especially useful for scenarios with a high signal-to-noise ratio (SNR), where the performance is not limited by the presence of noise, but by the absence of the information stored in the spectral zeros. In practice, this means an SNR >30 dB. With minor modifications, the equalizers can also be applied if the ZP is replaced by a unique word (UW).

Highlights

  • The idea of using a discrete Fourier transform (DFT) tomodulate data on carriers—referred to as tones or subcarriers—goes back a long time [1]

  • Using the OLA technique to implement the zero-forcing equalizers (ZFEs) in the frequency domain introduces the same vulnerability to spectral zeros in the channel response as in cyclic prefix (CP) systems. This results in an ill-conditioned problem and again the need to revert to an minimum mean squared error (MMSE) equalizer

  • This paper presents two new frequency-domain equalizers for zero pad (ZP) transmission which can recover the information lost in the spectral zeros, while maintaining a complexity, comparable to frequency-domain solutions

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Summary

Introduction

The idea of using a discrete Fourier transform (DFT) to (de)modulate data on carriers—referred to as tones or subcarriers—goes back a long time [1]. Using the OLA technique to implement the ZFE in the frequency domain introduces the same vulnerability to spectral zeros in the channel response as in CP systems. This results in an ill-conditioned problem and again the need to revert to an MMSE equalizer. This paper presents two new frequency-domain equalizers for ZP transmission which can recover the information lost in the spectral zeros, while maintaining a complexity, comparable to frequency-domain solutions. They are applicable to OFDM as well as SC transmissions.

System model and equalizers
Frequency-domain equalization based on matrix folding
Frequency-domain equalization based on matrix extension
Simulations and discussion
Conclusions
H I QH OO
Full Text
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