Abstract
Paper focuses on the spectrum sensing for cognitive radio solutions. The new algorithm is proposed for burst signal detection in frequency band where only this type of primary user signal appears (e.g. GSM band). Proposed spectrum sensor use signal energy and standard deviation estimates for primary user signal detection. A single perceptron is proposed to define a threshold for spectrum sensor. To investigate the efficiency of proposed spectrum sensor the real environment measurements were performed in the frequency band used by GSM system for downlink. An additional analysis of the signal energy estimates showed the periodicity of the energy changes in time domain. The calculation of FFT for signal energy changes in time has proven the performance of proposed spectrum detector for low power (situated far away from spectrum sensor) primary user signal detection in situations where it is covered by environment noise. DOI: http://dx.doi.org/10.5755/j01.eee.20.2.6384
Highlights
A number of papers in recent years focus on the effective utilization of the unused radio spectrum even if it is assigned for primary user [1]–[5]
A spectrum sensor added to a physical layer of communication systems in cognitive radio solution is responsible on the detection of primary user in noisy environment
The paper focuses on burst signal detection in GSM band using spectrum sensor
Summary
A number of papers in recent years focus on the effective utilization of the unused radio spectrum even if it is assigned for primary user [1]–[5]. The paper focuses on burst signal detection in GSM band using spectrum sensor. Five most common spectrum sensing methods could be found in literature [4]: Energy Detector based sensing; Waveform-Based Sensing; Cyclostationarity-Based Sensing; Radio Identification Based Sensing; Matched-Filtering These spectrum sensing techniques varies in complexity and primary user detection performance. Evaluation of spectrum sensor proposed in this paper is performed using pattern analysis technique based on estimation of high energy primary user signal cyclostationary features. The identification of idle slots for opportunistic spectrum access in GSM band should work even for low signal to noise ratio. Ability to detect a low power primary user signal is highly important for single node sensing detectors. Proposed pattern matching technique enable primary user signal detection in situations when signal to noise ratio is as low as 3 dB
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