Abstract

In time division multiple access (TDMA) communication systems, correctly estimating the synchronization parameters is very important for reliable data transfer. The algorithms used for frequency/phase and symbol timing estimates are generally accepted as knowing the start of signal (SoS) parameter. Therefore, within these parameters, the SoS parameter is of particularly great importance. In this study, a reduced version of the SoS estimation algorithm introduced by Hosseini and Perrins is presented to estimate SoS for Gaussian Minimum Shift Keying (GMSK) modulated signals in burst format over additive white Gaussian noise (AWGN) channels. The reduced algorithm can be implemented on FPGA by using half the number of complex multipliers that would be required by the double correlation method and is robust to carrier frequency/phase errors. Simulations performed under 0.1 normalized frequency offset conditions show that the proposed algorithm has a probability of false lock which is less than 7×10-2, even at 0 dB SNR level.

Highlights

  • The Gaussian Minimum Shift Keying (GMSK) modulation has many charming advantages

  • The Kasami sequence used as the preamble is selected from the small set of Kasami sequences generated from the x6 + x +1 primitive polynomial [17], [18]

  • We focused on the start of signal (SoS) estimation problem for burst mode GMSK transmission

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Summary

Introduction

The GMSK modulation has many charming advantages. It is efficient in terms of power and bandwidth because GMSK is a type of continuous phase modulation (CPM) [1]. ML sequence detector constructed on frequency/phase and symbol synchronization algorithms gains success, i.e. coherent receiver strip. Finding closed loop [9] or open loop [10] symbol-based algorithms is possible in both groups Aside from their loop structure, the data aided synchronization algorithms use a known bit sequence for performing estimation [11], while the non-data aided algorithms use only the received waveform itself for estimating the synchronization parameters [12]. Correlation-based algorithms can allow for frame detection at low SNR values by using a moderately short length preamble sequence. The proposed algorithm creates the opportunity for the implementation of additional complex synchronization/detection algorithms of the coherent GMSK receiver strip on the FPGA besides saving in number of complex multiplication. We proceed with the fundamental properties of the GMSK signal model

GMSK Signal
Frame Synchronization Algorithm
Simulations and Results
Conclusion
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