A new variable fractional sample delay filter with nonlinear interpolation

This paper presents a novel multitap interpolation equalization technique for filter bank-based multicarrier modulation/demodulation systems. The proposed technique is based on the equalization of the channel fractional delay in each subchannel in time synchronization with the constituent receiver side decimator. The proposed synchronization is achieved by combining a subset of the polyphase components of the analysis filter output signal after having passed through a bank of interpolation equalizers. The resulting multitap interpolation equalization permits a trade-off between various equalization parameters, such as the number of used polyphase components, the length of the equalizer, and the interchannel interference terms, making it possible to achieve a high signal-to-noise ratio (SNR) involving moderate equalization cost or a moderate SNR involving very low equalization cost. Simulation results for the standard carrier serving area loop show that the proposed equalization technique gives rise to 15 dB improvement in SNR compared to the output combiner equalization technique and can achieve an SNR close to the matched-filter bound for the channel by employing a reasonable equalizer length. Compared to the output combiner equalization technique, the proposed equalization technique involves around three times less the storage requirement at the same computational cost or around three times less the computational cost at the same storage requirement for equalizer training. Two suboptimal solutions are also proposed to simplify the equalizer training at only a minor loss in SNR.

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“…in which case g mi (n) would not satisfy (12), or by using an equalizer at the receiver side while satisfying the constraint in (12). …”

Section: Characterization Of MCM Systemsmentioning

confidence: 99%

A Novel Interpolation Equalization Technique for Multicarrier Modulation/Demodulation Systems

Wang

Nowrouzian

2003

Circuits Syst Signal Process

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“…The SOPI can be implemented with a linear, time-invariant FIR filter (Liu & Wei, 1992), and the interpolation can be written as …”

Section: Second-order Polynomial Interpolationmentioning

confidence: 99%

Channel Estimation for Wireless OFDM Communications

Lin¹

2010

Communications and Networking

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“…The first one is completely time domain design based on either Lagrange interpolation [13] or B spline functions [14,15]. The implementation of this design approach is made through original Farrow structure having as main advantage that filter coefficients are obtained by closed form expressions.…”

Section: Introductionmentioning

confidence: 99%

Frequency-Based Optimization Design for Fractional Delay FIR Filters with Software-Defined Radio Applications

Díaz-Carmona

Dolecek

Ramirez-Agundis

2010

International Journal of Digital Multimedia Broadcasting

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A frequency-designed fractional delay FIR structure, which is suitable for software radio applications, is presented. The design method is based on frequency optimization of a combination of modified Farrow and mutirate structures. As a result the optimization frequency range is made only in half of desired total bandwidth. According to the obtained results the proposed fractional delay structure allows online desired fractional delay update, with a high fractional delay value resolution.

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A new variable fractional sample delay filter with nonlinear interpolation

Cited by 94 publications

References 3 publications

A Novel Interpolation Equalization Technique for Multicarrier Modulation/Demodulation Systems

A Novel Interpolation Equalization Technique for Multicarrier Modulation/Demodulation Systems

Channel Estimation for Wireless OFDM Communications

Frequency-Based Optimization Design for Fractional Delay FIR Filters with Software-Defined Radio Applications

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