A Robust Range Accuracy Adaptation Criterion Based on ZZLB for CPS
Abstract: Cognitive radio (CR)
provides a theoretical foundation to achieve the cognitive function and collaborative
function for the positioning nodes. Under this trend, the cognitive positioning
system (CPS) has emerged. But the limitation of the traditional range accuracy
adaptation criterion based on Cramér-Rao Lower Bound (CRLB) makes it very
diffcult to put CPS into practices.To overcome this problem, it is necessary to
further study the criterion in complex noise environment. Based on the time of
arrival (TOA) location estimation algorithm, we analyze the performance of the
range accuracy adaptation algorithm, which take the Ziv-Zakai lower bound
information as the CPS parameter optimization criterion. Simulation results
show that the bound can providemore complete range accuracy adaptation
information compared with CRLB. Furthermore, we can improve the positioning
accuracy by means of enhancing the system signal-to-noise ratio (SNR),
adjusting the system bandwidth and increasing the observation duration.
Keywords: cognitive radio,
cognitive positioning system, range accuracy adaptation, Ziv-Zakai lower bound
Author: Xinyue Fan, Zhili Li,
Fei Zhou
Journal Code: jptkomputergg160178
