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Code Acquisition using Smart Antennas with Adaptive Filtering Scheme for DS-CDMA Systems

Code Acquisition using Smart Antennas with Adaptive Filtering Scheme for DS-CDMA Systems

Sheng-hong Kuo
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Pseudo-noise (PN) code synchronizer is an essential element of direct-sequence code division multiple access (DS-CDMA) system because data transmission is possible only after the receiver accurately synchronizes the locally generated PN code with the incoming PN code. The code synchronization is processed in two steps, acquisition and tracking, to estimate the delay offset between the two codes. Recently, the adaptive LMS filtering scheme has been proposed for performing both code acquisition and tracking with the identical structure, where the LMS algorithm is used to adjust the FIR filter taps to search for the value of delay-offset adaptively. A decision device is employed in the adaptive LMS filtering scheme as a decision variable to indicate code synchronization, hence it plays an important role for the performance of mean acquisition time (MAT). In this thesis, only code acquisition is considered.   In this thesis, a new decision device, referred to as the weight vector square norm (WVSN) test method, is devised associated with the adaptive LMS filtering scheme for code acquisition in DS-CDMA system. The system probabilities of the proposed scheme are derived for evaluating MAT. Numerical analyses and simulation results verify that the performance of the proposed scheme, in terms of detection probability and MAT, is superior to the conventional scheme with mean-squared error (MSE) test method, especially when the signal-to-interference-plus-noise ratio (SINR) is relatively low.   Furthermore, an efficient and joint-adaptation code acquisition scheme, i.e., a smart antenna coupled with the proposed adaptive LMS filtering scheme with the WVSN test method, is devised for applying to a base station, where all antenna elements are employed during PN code acquisition. This new scheme is a process of PN code acquisition and the weight coefficients of smart antenna jointly and adaptively. Numerical analyses and simulation results demonstrate that the performance of the proposed scheme with five antenna elements, in terms of the output SINR, the detection probability and the MAT, can be improved by around 7 dB, compared to the one with single antenna case.


Summary

This 2006 paper presents an LMS-based adaptive filtering approach for PN code acquisition and tracking in DS-CDMA receivers and evaluates how smart antenna array processing improves synchronization robustness. Readers will learn how a unified adaptive FIR filter structure can estimate delay offsets for acquisition and tracking and how a decision device is used to indicate successful code alignment under noise and interference.

Key Takeaways

  • Describe how an LMS-adaptive FIR filter can be configured to perform both PN code acquisition and tracking by searching for delay offsets.
  • Explain the function of the decision device used to indicate code synchronization and its impact on false-acquire/false-release performance.
  • Demonstrate how smart antenna combining and array processing enhance acquisition reliability in multipath and interference environments.
  • Evaluate algorithm performance using metrics and simulations for DS-CDMA PN synchronization under noise, interference, and multipath.

Who Should Read This

Wireless communications engineers, signal-processing researchers, and graduate students working on CDMA synchronization, adaptive filtering, or smart-antenna techniques who want practical algorithm insights and performance evaluation.

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Topics

CommunicationsAdaptive FilteringStatistical Signal Processing

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