Abstract
In this study, a kind of nonlinear stochastic-resonance (SR) signal enhancement technique combined with the distributed receiving array signal power spectrum combination approach is proposed. By utilizing the signal spectral power improvement technique, the fitness of the distributed SR system with the array structure, and the information combination of the receiving power spectra, the corresponding objective of wireless localization can be realized successfully. An iterative nonlinear SR-based processing structure and corresponding algorithm are also proposed, which guarantee the applicability of the proposed approach. Computer simulations give the better performances of the proposed method compared with the conventional direction of arrival (DoA) estimation approaches and corresponding wireless localization estimation results.
Highlights
The high-precision localization has become a serious demand in many applications
The traditional direction of arrival (DoA) estimation methods including multiple signal classification (MUSIC), estimating signal parameters via rotational invariance techniques (ESPRIT) and most of their improvement algorithms show very good super-resolution DoA estimation performances especially compared with some classical beamforming methods, it still has a serious problem in the real application that they cannot guarantee the estimated DoA
Based on the algorithm and the technical details above, the proposed signal subspace decomposition approach based on the iterative SR technique can be realized, and it can be applied in many different areas
Summary
The high-precision localization has become a serious demand in many applications. A novel wireless localization approach using the modern wireless communication facilities is proposed and discussed, which is based on the distributed nonlinear stochastic resonance (SR) enhanced signal power spectral combination technique and corresponding iterative processing algorithm. This work is the extension of our previous research work using the SR-enhanced power spectrum fusion to realize wireless positioning [18] In this proposed approach, by introducing the nonlinear SR signal pre-processing method and the distributed SR processing structure, the signal power spectrum could be improved to compensate the path fading and the unpredictable interference in the wireless communication channel; and by introducing the receiving signal power spectral combination, the NLOS transmission problem can be overcome effectively, which is familiar in the wireless communication channel.
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