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- Jayram, Shastri, et al.
(författare)
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Stochastically Resonant Spectrum Sensing for White Space Communications Dynamic Spectrum Access and Intelligent Radios and Networks
- 2018
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Ingår i: Proceedings of 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing (SigTelCom). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538629765 ; , s. 208-213
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Konferensbidrag (refereegranskat)abstract
- This paper proposes and investigates Stochastically Resonant Spectrum Sensing (SRSS) in order to expedite Dynamic Spectrum Access and TV White Space (TVWS) communications. SRSS adds noise to a signal in order to enhance its Signal-to-Noise Ratio (SNR) and can be useful in sensing and detecting weak signals, e.g. weak Primary User or even Secondary User activity in TVWS. We demonstrate that SR is a useful Spectrum Sensing technique and can improve SNRs by similar to 8-10 dB using MATLAB simulations. Typically, SRSS uses only Additive SR Noise and we include and also investigate Multiplicative SR Noise effects, showing that in certain instances the latter can also improve SNRs by similar to 2 dB. We compare the Additive versus the combined Additive and Multiplicative cases using Uniform and Normal/ Gaussian distributions and present our results. Our ultimate goal is to include SRSS in an IEEE/DySPAN-SC 1900.* Standards based Interference Managing Ontological Cognitive Radio, Intelligent Radio or Policy Based Radio for Ad-Hoc and Heterogeneous i.e. Composite Wireless Networks.
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| 2. |
- Vu, Viet Thuy, et al.
(författare)
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A hybrid GMTI method for reliable detection results in SAR images
- 2018
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Ingår i: Proceedings - 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing, SIGTELCOM 2018. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538629765 ; , s. 73-78
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Konferensbidrag (refereegranskat)abstract
- Stand-alone synthetic aperture radar (SAR) ground moving target indication (GMTI) methods have both advantages and disadvantages. This paper introduces a hybrid SAR GMTI method that is based on two well-known methods: space time adaptive processing (STAP) and moving target detection by focusing (MTDF). The input of the proposed hybrid method is two time separated complex radar images. The output is detected ground moving targets, the target normalized relative speeds (NRS), and focused images of the detected targets. In the paper, we provide the mathematical background behind the hybrid SAR GMTI method in details. We also provide some experimental results for validating the proposed method. The data for the experiments was acquired in early 2015 by TanDEM-X and TerraSAR-X operating in monostatic pursuit mode. The ground scene where the measurements were conducted is around Mantorp, west of Linköping, Sweden. © 2018 IEEE.
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