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The quasi-likelihood algorithm detection of rectangle ultra-wideband quasi-radiosignal with unknown amplitude, initial phase and duration has been synthesized. The statistical characteristics of the efficiency synthesized detection algorithm — false alarm probability and probability of missing a signal, have been found.
This paper aims to detect narrowband signal embedded in the noise background using a single acoustic vector hydrophone. In the isotropic noise field, processing on acoustic energy flow is the maximum likelihood ratio detector. Adopting ideas of the average power spectrum, we propose a narrowband detector based on the cross spectrum between acoustic pressure and acoustic particle velocity. Firstly,...
We study the semi-coherent detection of a novel communication mechanism, ambient backscatter, where detection-required parameters can be obtained from unknown data symbols and a few pilot symbols. To release dependence on prior knowledge of ambient signals, we propose a type of robust design, called energy detector, with the ambient signal being either complex Gaussian (CG) or phase shift keying (PSK)...
Visual tracking integrates the technology of image processing and pattern recognition, etc., which has a lot of potential applications, such as automatic driving, safety monitoring, etc. This paper analyzes the advantages and disadvantages of the Kernelized Correlation Filter (KCF) and Tracking-Learning-Detection (TLD), which are two kinds of trackers. TLD tracker has correcting capability whereas...
The quasi-likelihood algorithm detection of rectangle ultra-wideband quasi-radiosignal with unknown amplitude, initial phase and duration has been synthesized. The statistical characteristics of the efficiency synthesized detection algorithm — false alarm probability and probability of missing a signal, have been found.
In this paper we derive the distribution of the total contention delay in wireless sensor networks (WSNs) tasked with detection of an intruder in a specific sensing field. We use a stochastic geometry framework to model the WSN, in which the sensor nodes send their local decisions and data to the fusion center over a shared communication channel employing a contention based MAC protocol. We first...
In this paper we characterize the radio frequency (RF) spectrum opportunities available in a common GSM (Global System for Mobile Communications) channel to support the operation of a cognitive radio network (CRN). In a first step, we describe the technical details involved to sample the channel using a Software Defined Radio (SDR) device. Adopting a simple Energy-based detector, we identify the two...
An efficient spectrum sensing scheme is proposed for detecting a primary signal corrupted by a Generalized Gaussian Noise (GGN). It is assumed that the power of the primary signal is much smaller than the noise power, and secondary users are equipped with multiple antenna receivers. The proposed scheme, referred to as sigmoid detector, uses a sigmoid soft limiter. The sigmoid limiter is characterized...
In this paper, we developed a software defined radio (SDR) system for implementing energy detection spectrum sensing. The SDR module can be used for a wide range of applications. The use of the SDR module is motivated by its high interoperability, availability for relatively cheaper prices and being software independent. Energy detection for cognitive radios is chosen for its simplicity and popularity...
In this work, the inter-dependency of TCM signals is studied. Using this inter-dependency, correlation-based detectors are proposed for spectrum sensing of TCM signals in white Gaussian noise. In particular, a constant false alarm rate (CFAR) detector is presented and its performance is evaluated using simulations. We also describe an application of our detector for the classification of uncoded modulation...
A generalized sequential probability ratio test (GSPRT) is a classical algorithm for binary sequential hypothesis testing. Though it is well-studied in the literature, there has been no optimal design of this test due to the difficulty of choosing its thresholds. In this paper we formulate the binary sequential hypothesis testing as an optimization problem. The latter is non-convex, and finding a...
In this paper we investigate cooperative spectrum sensing technique in which double threshold based energy detection is used at local cognitive radio (CR) sensors. Cooperative spectrum sensing improves reliability in detection of underutilized spectrum by fusing the decisions of local CR sensors. Local CR sensors use two thresholds, λ1 and λ2 (with λ2 > λ1). If the sensed energy is greater than...
We extend earlier work by Essick et al. [1,2] with a study of similarities among sky localization maps corresponding to gravitational-wave transients. Earlier in 2016, the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) announced the first direct observation of gravitational waves from binary black holes [3,4]. Motivated by the fact that multiple detection and localization algorithms...
The Median of Maxima Estimate (MOME) receiver is a distribution-free Constant False Alarm Rate (CFAR) receiver used to detect signal bursts against a time-varying, non-Gaussian background. Receiver configuration requires selecting four parameters that determine detection performance and adaptation rate. A semi-analytic method of determining the false alarm rate is proposed. This procedure avoids time...
One of the major components of cognitive radio is its ability to detect the availability of unused spectrum. Detection for the presence or absence of the spectrum hole plays a very important role before the frequency spectrum is used. Previous research in the field of spectrum detection for cognitive radio has been done for the distributed detection using energy detector with 2-bit decision but its...
A stopping time τ is controlled by a process {Xt} and we are interested in the detection of its onset using a sequential scheme. The sequential detector is an alternative stopping time T which is based on observations {ξt} that are obtained sequentially. The occurrence of τ initiates a change in the statistical behavior of the pair processes {(Xt, ξt} for times after τ with τ modeling the change-imposing...
Algorithms based on signal correlation have low computational complexity and require little knowledge on primary signals or noise signals. However, their detection performance becomes relatively terrible in low signal-to-noise ratio (SNR) regime with weak signal correlation, which happens to be quite common in practical systems. In this paper, a weighted blind spectrum sensing algorithm based on signal...
Secondary User (SU) has a responsibility to seek opportunities of spectrum access through spectrum sensing continuously. Spectrum sensing is a main task in Cognitive Radio (CR) that must be performed to avoid collision with Primary User (PU) and having seamlessly data transmission via license channel. To achieve sensing outcome correctly with tolerable error rate, SU requires sufficient time for sensing...
While most of research in Compressive Sensing (CS) has been focused on reconstruction of the sparse signal from very fewer samples than the ones required by the Shannon-Nyquist sampling theorem, recently there has been a growing interest in performing signal processing directly in the measurement domain. This new area of research is known in the literature as Compressive Signal Processing (CSP). In...
The required time for spectrum sensing is critical issue in cognitive radio (CR). Secondary User (SU) must sense license spectrum to seek opportunities as quick as possible. However, quick sensing decreases the fidelity of sensing outcome. Sensing time has a significant impact to the throughput performance. This paper studies the impact of sensing time to the throughput performance at low signal to...
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