Spectrum sensing is a key functionalities of Cognitive radio networks (CRN). There are several methods to improve sensing techniques. In this paper, we present a robust detector using signal to noise ratio (SNR) with adaptive threshold (ADT) scheme in Cognitive Radio Networks (CRN). This technique has two detectors, energy detector (ED)&EDwithADT detector, out of these two detectors only one will perform sensing operation at a time. Selection of detector depends on condition between estimated SNR value (S e ) and threshold (γ). Numerical results show that proposed ESNR_ADT scheme optimizes detection performance and outperforms the cyclostationary based sensing method and adaptive spectrum sensing (SS) by 30.5 % and 30 % at -10 dB signal to noise ratio (SNR) respectively. It is also shown that the proposed scheme yields lesser sensing time than cyclostationary detection and adaptive SS scheme in the order of 5.2 ms and 1.0 ms at -20 dB SNR respectively.
This paper concentrates on the bistatic SAR (BiSAR) signal processing for the spaceborne/airborne hybrid bistatic configuration. A bistatic SAR experiment based on this hybrid configuration is being planned in cooperation with FGAN/FHR and DLR. Due to the extreme differences of the platform's velocities and altitudes, the spaceborne system works in the sliding spotlight mode, while the airborne system operates in the inverse sliding spotlight mode. In this paper, our previous work (i.e. ISFT) is applied to focus the hybrid bistatic SAR data based on the extended Loffeld's Bistatic Formula (ELBF).
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