Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 69, Issue 4, Pages 2628-2642Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2021.3050773
Keywords
Wireless communication; Location awareness; Estimation; Direction-of-arrival estimation; Signal to noise ratio; Array signal processing; Multiple signal classification; Wireless localization; spectra fusion; asymmetric second-order stochastic resonance (ASSR); unbiasedness; asymptotic efficiency
Funding
- National Natural Science Foundation of China [61971278, 61771308, 61871265, 61873163, 61771302]
- Important National Science and Technology Specific Project of China [2018ZX03001020-005]
- Equipment Pre-Research Foundation of China [61404130218]
- Joint Foundation of the Eighth Research Institute of China Aerospace Science and Technology Corporation and Shanghai Jiao Tong University [USCAST2020-26]
- National Key Research and Development Program of China [2018YFB0505103]
- Science and Technology project of the State Grid Corporation of China [SGSHJX00KXJS1901531]
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The paper introduces a novel wireless localization approach based on twice receiving array signal spectra fusions and asymmetric second-order stochastic resonance (ASSR) networks, which significantly improves precision under low SNR conditions.
Path fading and non-line-of-sight (NLOS) signals constitute serious problems in the wireless localization process. These problems cause unpredictable degradation in the localization precision. In this paper, a novel wireless localization approach, which is based on twice receiving array signal spectra fusions and asymmetric second-order stochastic resonance (ASSR) networks, is proposed. By combining and repetitively processing the above two techniques, the receiving signal-to-noise ratio (SNR) can be enhanced. Additionally, the receiving array signal without the line-of-sight (LOS) component can be determined and removed from the spectra fusion process. The theoretical analyses presented verify the unbiasedness and asymptotic efficiency of the proposed twice receiving spectra fusion approach. Computer simulations demonstrate that the fused spectra can significantly improve the wireless localization precision compared with conventional and up-to-date localization methods, especially under low SNR conditions.
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