Low Power Wideband Sensing for One-Bit Quantized Cognitive Radio Systems

Abstract

We proposes an ultra low power wideband spectrum sensing architecture by utilizing a one-bit quantization at the cognitive radio (CR) receiver. The impact of this aggressive quantization is quantified and it is shown that the proposed method is robust to low signal-to-noise ratios (SNR). We derive closedform expressions for both false alarm and detection probabilities. The sensing performance and the analytical results are assessed through comparisons with respective results from computer simulations.The results indicate that the proposed method provides significant saving in power, complexity, and sensing period on the account of an acceptable range of performance degradation. Index TermsCognitive radio, low power, one-bit quantizer, wideband sensing.

One-Bit LFMCW Radar: Spectrum Analysis and Target Detection

“…Consider a set of typical parameters (details will be shown later in Table I) Furthermore, the corresponding frequency range of 3-order harmonics is partly overlap with that of true targets (no matter how large the sampling frequency f s is selected) and hence, linear processing methods is difficult to completely remove FAs caused by harmonics. For example, two of the 3-order harmonics that have frequencies of 2f r,1 − f r,2 and 2f r,2 − f r,1 may be equal to that of true targets and can not be suppressed in frequency domain 6 .…”

One-Bit Spectrum Sensing in Cognitive Radio Sensor Networks

“…To simplify the implementation of high sampling ADCs, it is preferred to use low precision ADCs. The extreme case is to use one bit ADCs utilizing sign measurement by a simple comparator [17], [18], [19]. In [17], an ultra low power wideband spectrum sensing architecture is suggested by utilizing a one bit quantization at the cognitive radio receiver.…”

“…The extreme case is to use one bit ADCs utilizing sign measurement by a simple comparator [17], [18], [19]. In [17], an ultra low power wideband spectrum sensing architecture is suggested by utilizing a one bit quantization at the cognitive radio receiver. In [18], the same authors used a window-based autocorrelation to provide the power spectral density of the quantized signal.…”

Asymptotic Signal Detection Rates with 1-Bit Array Measurements

“…For discussions on symbol detection for quantized communication see, e.g., [13]- [18]. Detection for cognitive radio with single-antenna 1-bit receivers is considered in [19] while array processing with 1-bit measurements is analyzed in [20]- [22].…”