Abstract:
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.
