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Seamless communication for reliable, detailed and precise transfer of informative data is the requirement of future tactical systems. To improve the demand of high throughput in networking radio communication systems, a wideband networking waveform for software defined radios is developed. Multi-mode wideband networking waveform for software define radio attains this quality of communication service. This wideband networking waveform has different aspects of operation. These aspects are including designing of physical layer, sampling clock recovery, burst detection, and carrier frequency offset estimation and compensation. Burst detection plays important role in throughput of burst mode of communication systems. A novel burst detection algorithm using Zadoff-chu training sequence is proposed which reduces re-transmission overhead and increase throughput of communication system. Its helps to improve the quality of service and throughput requirement of user application in wideband networking communication. Detection of start of burst and timing synchronization operations are most important in wideband networking radio waveform in software defined radios. Medium Access Time Adaptive time slot algorithm directly affect by these operations. Especially design Zadoff-chu training sequence is used to calculate timing metric is proposed in burst detection algorithm. Channel conditions are very less affecting the threshold value of burst detection metric.
Proposed algorithm is compared with a set of known existing methods and results demonstrates the improvement of performance. Throughput, computational complexity and performance of proposed algorithm is show through simulation results. This proposed burst detection algorithm is used to improve throughput of wideband SDR waveform-based systems. Both military and commercial based application used high throughput wideband SDR waveform. Voice calls, Video conferencing, Messaging, biometrics, file transfer applications, IP data are some examples of wideband SDR waveform |
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