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A novel adaptive algorithm based on pilot channel (PCA) for MMSE multiuser detection in downlink CDMA is proposed in this paper. This algorithm uses the information in pilot channel to compute the desired weight vector directly. Compared with conventional adaptive algorithms and blind algorithms, it does not require training sequences nor channel estimation. Analysis shows that the weight vector obtained by the PCA algorithm converges to the Wiener solution globally and its computational complexity is *O*(*N*^{2}). Simulation results show that the PCA algorithm can adapt rapidly to the changing environment. The steady state performance can be enhanced by increasing the transmitted power in pilot channel, but is worse than that of conventional recursive least-square (RLS) algorithm in decision-directed mode. Also, performance of the adaptive MMSE detector is much better than that of conventional RAKE receiver.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.11 pp.2341-2347

- Publication Date
- 2000/11/25

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- PAPER

- Category
- Spread Spectrum Technologies and Applications

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Yi WANG, Jun WU, Weiling WU, "Adaptive Algorithm Based on Pilot-Channel for MMSE Multiuser Detection in Downlink CDMA" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 11, pp. 2341-2347, November 2000, doi: .

Abstract: A novel adaptive algorithm based on pilot channel (PCA) for MMSE multiuser detection in downlink CDMA is proposed in this paper. This algorithm uses the information in pilot channel to compute the desired weight vector directly. Compared with conventional adaptive algorithms and blind algorithms, it does not require training sequences nor channel estimation. Analysis shows that the weight vector obtained by the PCA algorithm converges to the Wiener solution globally and its computational complexity is *O*(*N*^{2}). Simulation results show that the PCA algorithm can adapt rapidly to the changing environment. The steady state performance can be enhanced by increasing the transmitted power in pilot channel, but is worse than that of conventional recursive least-square (RLS) algorithm in decision-directed mode. Also, performance of the adaptive MMSE detector is much better than that of conventional RAKE receiver.

URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_11_2341/_p

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@ARTICLE{e83-a_11_2341,

author={Yi WANG, Jun WU, Weiling WU, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={Adaptive Algorithm Based on Pilot-Channel for MMSE Multiuser Detection in Downlink CDMA},

year={2000},

volume={E83-A},

number={11},

pages={2341-2347},

abstract={A novel adaptive algorithm based on pilot channel (PCA) for MMSE multiuser detection in downlink CDMA is proposed in this paper. This algorithm uses the information in pilot channel to compute the desired weight vector directly. Compared with conventional adaptive algorithms and blind algorithms, it does not require training sequences nor channel estimation. Analysis shows that the weight vector obtained by the PCA algorithm converges to the Wiener solution globally and its computational complexity is *O*(*N*^{2}). Simulation results show that the PCA algorithm can adapt rapidly to the changing environment. The steady state performance can be enhanced by increasing the transmitted power in pilot channel, but is worse than that of conventional recursive least-square (RLS) algorithm in decision-directed mode. Also, performance of the adaptive MMSE detector is much better than that of conventional RAKE receiver.},

keywords={},

doi={},

ISSN={},

month={November},}

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TY - JOUR

TI - Adaptive Algorithm Based on Pilot-Channel for MMSE Multiuser Detection in Downlink CDMA

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 2341

EP - 2347

AU - Yi WANG

AU - Jun WU

AU - Weiling WU

PY - 2000

DO -

JO - IEICE TRANSACTIONS on Fundamentals

SN -

VL - E83-A

IS - 11

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - November 2000

AB - A novel adaptive algorithm based on pilot channel (PCA) for MMSE multiuser detection in downlink CDMA is proposed in this paper. This algorithm uses the information in pilot channel to compute the desired weight vector directly. Compared with conventional adaptive algorithms and blind algorithms, it does not require training sequences nor channel estimation. Analysis shows that the weight vector obtained by the PCA algorithm converges to the Wiener solution globally and its computational complexity is *O*(*N*^{2}). Simulation results show that the PCA algorithm can adapt rapidly to the changing environment. The steady state performance can be enhanced by increasing the transmitted power in pilot channel, but is worse than that of conventional recursive least-square (RLS) algorithm in decision-directed mode. Also, performance of the adaptive MMSE detector is much better than that of conventional RAKE receiver.

ER -