Improved Burst Detection for Physical Layer of SDR Wideband Waveform using Zadoff-Chu Sequence

The demands of high throughput in networking radio communication system require the use of wideband networking waveform in software defined radio (SDR). The design of physical layer of any SDR waveform involves a crucial stage of burst detection as part of timing synchronization. In this paper, an efficient burst detection algorithm based on novel usage of Zadoff-chu sequence is proposed. The burst detection algorithm is Data Aided (DA) and is based on proposed time domain repetitive training sequence designed by using Zadoff-Chu sequence. The proposed technique reduces re-transmission overhead and thus increases throughput of the overall system. It is shown through simulation results that the proposed algorithm outperforms the existing Golay sequence based burst detection by approximately 1.5 dB. This improvement in performance is achieved without increase in the computational complexity.