Wideband frequency domain detection using Teager-Kaiser energy operator

International audienceThis paper addresses wireless microphone sensing in the TV white space and efficient detection of narrowband FM modulation signals. To this end, a wideband frequency domain analysis is proposed. The required Fast Fourier Transform for this operation may be shared between sensing analysis and modulation functions. A particular decision metric is then studied for the analysis of wireless microphone signals based on the Teager-Kaiser energy operator. Simulation results show that 6 dB of detection gain could be achieved when using a frequency domain analysis compared to time domain methods. The Teager-Kaiser detection leads to further improvement of 1.5 dB. This performance could be reached at no extra cost in term of complexity

A common operator for FFT and FEC decoding

International audienceIn the Software Radio context, the parametrization is becoming an important topic especially when it comes to multistandard designs. This paper capitalizes on the Common Operator technique to present new common structures for the FFT and FEC decoding algorithms. A key benefit of exhibiting common operators is the regular architecture it brings when implemented in a Common Operator Bank (COB). This regularity makes the architecture open to future function mapping and adapted to accommodated silicon technology variability through dependable design

Towards a more efficient spectrum usage: spectrum sensing and cognitive radio techniques

The traditional approach of dealing with spectrum management in wireless communications has been through the definition on a license user granted exclusive exploitation rights for a specific frequency.Peer ReviewedPostprint (published version

Method for Identifyng and Detecting a Radio Signal For a Cognitive Communication System

A method of identifying an RF signal for a cognitive radio system. The signal is identified with a digital watermarking performed downstream from the digital modulation of the symbols to be transmitted. A method of detecting an RF signal watermarked is also disclosed. The identification method includes demodulating the received RF signal as a baseband, converting it digitally, and correlating the digital signal obtained with a predetermined digital signature. The correlation values are averaged using a recursive filter and the maximum value of the average values output from the filter is compared to a threshold to decide whether the RF signal is present

Signal detection using watermark insertion

Abstract — This paper analyses signal detection using watermark insertion, which is artificially embedded into the digital modulated signal. When a signal does not contain intrinsic information, its detection is hard to achieve using blind detectors. For that kind of signals, we propose to insert a low-power watermark that will be detected by a matched filter based detector. The system design is a trade-off between the watermark insertion strength (i.e. reducing the transmission quality) and the detection sensitivity. This trade-off is discussed in this paper and simulations results show the advantage of the watermark insertion. I

Cyclostationarity Detectors for Cognitive Radio: Architectural Tradeoffs

Cyclostationarity detectors have been studied in the past few years as an efficient means for signal detection under low-SNR conditions. On the other hand, some knowledge about the signal is needed at the detector. This is typically the case in Cognitive Radio spectrum secondary usage, where the primary system is known. This paper focuses on two hardware architectures of cyclostationarity detectors for OFDM signals. The first architecture aims at secondary ISM band use, considering IEEE802.11a/g as the primary system. In this scenario, low latency is required. The second architecture targets TV band secondary usage, where DVB-T signals must be detected at very low SNR. The paper focuses on the architectural tradeoffs that the designer has to face, and how his/her choices will influence either performance or complexity. Hardware complexity evaluation on FPGA is provided for detectors that have been tested in the laboratory under real conditions.</p

Extented Reconfigurable Linear FeedBack Shift Register Operators for Software Defined Radio

The expansion of Cognitive Radio (CR) was first impacted by the advent of Software Defined Radio (SDR). SDR provides the reconfigurability needed to switch from one standard to another. In this context and because it will reduce the size of the software to be downloaded, parameterization is an active research topic and appears as a keystone of SDR. Thereby, this paper points out an Extended Reconfigurable Linear Feedback Shift Register Based (ER-LFSR) structure, which can realizes several front rank operations of multi mode CR transceivers. Focused on OFDMbased Air Interfaces, the selected approach was to define a range of operations applying like-looking structures. In so doing, we specify two parameterizable structures to fulfill functions such as Pseudo Random Sequence Generators, Scrambling, Convolutive Coding, Cyclic coding, Reed-Solomon Coding or Reed-Solomon decoding