Abstract
This paper describes a multichannel super-heterodyne signal analyzer, called the Spectrum Analysis Solution (SAS), which performs multi-purpose spectrum sensing to support spectrally adaptive and cognitive radar applications. The SAS operates from ultrahigh frequency (UHF) to the S-band and features a wideband channel with eight narrowband channels. The wideband channel acts as a monitoring channel that can be used to tune the instantaneous band of the narrowband channels to areas of interest in the spectrum. The data collected from the SAS has been utilized to develop spectrum sensing algorithms for the budding field of spectrum sharing (SS) radar. Bandwidth (BW), average total power, percent occupancy (PO), signal-to-interference-plus-noise ratio (SINR), and power spectral entropy (PSE) have been examined as metrics for the characterization of the spectrum. These metrics are utilized to determine a contiguous optimal sub-band (OSB) for a SS radar transmission in a given spectrum for different modalities. Three OSB algorithms are presented and evaluated: the spectrum sensing multi objective (SS-MO), the spectrum sensing with brute force PSE (SS-BFE), and the spectrum sensing multi-objective with brute force PSE (SS-MO-BFE).
Highlights
In the United States, the Federal Communications Commission (FCC) regulates the radio frequency (RF) portion of the electromagnetic spectrum for non-federal use
A statistical framework was established to serve as a foundation for the three optimal sub-band (OSB) selection algorithms that are developed in the paper, namely, the spectrum sharing (SS)-MO, the sensing with brute force PSE (SS-BFE), and the sensing multi objective (SS-MO)-BFE
These algorithms are designed to determine or define an OSB for radar transmission based on an input spectrum
Summary
In the United States, the Federal Communications Commission (FCC) regulates the radio frequency (RF) portion of the electromagnetic spectrum for non-federal use. The current FCC spectrum management policy allocates explicit blocks of the spectrum to specified applications with harsh interference penalties This regulatory policy follows an exclusive-use model in which spectrum bands are licensed to applications for exclusive use [1]. One solution that has been presented by the cognitive radio community lies in allowing dynamic spectrum access (DSA), in which devices can co-share or co-exist in a sub-band of the spectrum [3]. A solution to mitigate spectrum shortage is to loosen spectrum regulation and allow for a cooperative approach to band sharing Such opportunistic spectrum access (OSA), which may resolve the problem that is caused by the finite supply and increasing demand of usable spectrum by utilizing the idle portions of the spectrum. 3. in Hardware and design and software implementation considerations of the Spectrum
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