Adaptive blind equalization coupled with carrier recovery for HDTV modem

Choi, Young‐Do; Hwang, Humor; Song, Dong-Il

doi:10.1109/30.234610

Cited by 23 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be noted that if g(x) satisfies the three properties, then ) (x g k also satisfies those properties, where k is an integer. ) It can readily be known that even power cosinusoidal functions [6,7], shown in Fig.3, satisfy the desirable polynomial properties,…”

Section: C) Derivative Constraintsmentioning

confidence: 99%

<title>Adaptive equalization techniques for indoor dynamic wireless communication channels</title>

Amin

Reed³

2001

SPIE Proceedings

View full text Add to dashboard Cite

A modified constant modulus algorithm (MCMA) algorithm for adaptive channel equalization for QAM signals is proposed. The proposed algorithm minimizes a cost function that consists of amplitude-and phase-dependent terms. The phase term complements the amplitude-dependent term that is provided by the conventional constant modulus algorithm (CMA). This term should satisfy several properties that guarantee extremum values at the QAM signal levels and at maximum deviations from these levels. Further, the properties should allow symmetry and uniformity across all alphabets. It is shown that the even power co-sinusoidal functions are appropriate for phase term representations. The MCMA is compared with the CMA and the Stop-and-Go Algorithm (SGA) for blind equalization. The performance is evaluated for indoor wireless channels using both transient and steady-state behaviors of the mean square error (MSE). A channel model is developed based on spectral observations of the unlicensed U-NII frequency band, and shown to be time-varying and to exhibit frequency selective fading. While the CMA is successful in achieving good performance, it is shown that both MCMA and SGA are superior and more robust in low SNR environments. The paper also presents a performance comparison of symbol-spaced and sample-spaced equalizations for a single and two-antenna receiver. Simulation results demonstrate that using multi-antenna receiver can effectively improve adaptive channel equalizations by increasing convergence rate and decreasing steady-state mean square error.

show abstract

Section: C) Derivative Constraintsmentioning

confidence: 99%

<title>Adaptive equalization techniques for indoor dynamic wireless communication channels</title>

Amin

Reed³

2001

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

“…However, some standards require direct channel adaptation without a training sequence and a pilot channel, such as in the broadcasting service, HDTV, LMDS (Local Multipoint Distribution Service), DSL (Digital Subscriber Line), the downstream of the MCNS (Multimedia Cable Network System), etc. [3,4]. Thus, the blind adaptive algorithm is needed to make some known statistics of the transmitted data, i.e., the probability distribution and to adapt the equalizer weights [I].…”

Section: Intoructionmentioning

confidence: 99%

Design of an equalizer using the DFE structure and the MMA algorithm

Shin

Hwang²,

Jo³

et al.

Proceedings of Second IEEE Asia Pacific Conference on ASICs. AP-ASIC 2000 (Cat. No.00EX434)

View full text Add to dashboard Cite

This paper proposes an equalizer using MMA (Multi-Modulus Algorithm) and LMS (Least Mean Square) algorithms and uses a DFE (Decision Feedback Equalizer) structure. The existing MMA equalizer uses two transversal ,filters but the proposed equalizer uses two DFEPlter banks to improve the channel adaptive performance and to reduce the number of taps. The fabricated equalizer ASIC chip using MMA and LMS algorithms operates at 8 MHz and provides 64 Mbps which is higher than existing equalizers.The chip uses the 0.35 pm technology and has about 160,000 gates.

show abstract

“…From (2) and (3), it follows y(k) = gHS(k) + WHV(k) (4) where g = HHw. The purpose of blind channel equalization is to find an optimal equalization vector wopt such that…”

Section: Problem Formulationmentioning

confidence: 99%

“…It has been shown [4] that the CMA and its different extensions do not have good performance in the equalization of a channel driven by MPSK and quadrature amplitude modulation (QAM) signals. To improve the performance of the CMA, a possible way is to incorporate partial or full phase information of the signal with the cost function of the CMA.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Blind Channel Equalization Based on Constellation Information of MPSK Signal

Xiang

Tan³

et al.

2005 IEEE International Conference on Industrial Technology

View full text Add to dashboard Cite

In this paper, we propose a new adaptive algorithm for the blind equalization of an FIR (finite impulse response) channel excited by an M-ary phase shift keying (MPSK) signal. Different from the conventional constant modulus algorithm (CMA), which exploits the amplitude information of the input signal, the proposed algorithm exploits the full constellation information of the input signal. Theoretical analysis shows that the new algorithm has less mean square error (MSE), namely better equalization performance, in steady state than the CMA. Numerical simulations show the effectiveness of the new algorithm.

show abstract

Adaptive blind equalization coupled with carrier recovery for HDTV modem

Cited by 23 publications

References 3 publications

<title>Adaptive equalization techniques for indoor dynamic wireless communication channels</title>

<title>Adaptive equalization techniques for indoor dynamic wireless communication channels</title>

Design of an equalizer using the DFE structure and the MMA algorithm

Adaptive Blind Channel Equalization Based on Constellation Information of MPSK Signal

Contact Info

Product

Resources

About