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Published in Philip A. Laplante, Comprehensive Dictionary of Electrical Engineering, 2018
signal-to-interference ratio (SIR) the ratio of the average power of the signal component to the average power of the interference component in a case where an information-bearing signal of interest has been corrupted by interfering signals. signal-to-noise plus interference ratio (SNIR) the ratio of total signal power to the sum of total noise power and total interference power at a receiver. The SNIR is a more complete indicator of received signal quality than either SIR or SNR, where the relative contribution of receiver noise and external sources of interference are either unknown or widely varying. It is a unitless quantity. See also signal-to-noise ratio, signal-tointerference ratio. signal-to-noise ratio (SNR) the ratio of the average power of the information signal component to the average power of the noise component in a signal consisting of the sum of an information signal component and a corrupting noise component. It is a unitless quantity. signaling procedures used to control (set up and clear down) calls and connections within a telecommunication network. signaling system 7 (SS7) a communications protocol used in common-channel signaling networks. signature a characteristic easily computed feature or function by which a particular object or signal may be at least tentatively identified. An example is the centroidal profile for an object having a well defined boundary. signature analysis (1) a test where the responses of a device over time are compared to a characteristic value called a signature, which is then compared to a known good one.
Mobile Wireless Technologies
Published in Stephan S. Jones, Ronald J. Kovac, Frank M. Groom, Introduction to COMMUNICATIONS TECHNOLOGIES, 2015
Stephan S. Jones, Ronald J. Kovac, Frank M. Groom
The second category of smart antennas is the adaptive array (AA). Using a variety of new signal-processing algorithms, this system is able to effectively locate and track different types of signals in order to minimize the interference and maximize the intended signal reception. This adaptive system provides optimal gain while identifying, tracking, and minimizing interfering signals. These techniques will take full advantage of the signal-to-interference ratio (SIR) for better transmission quality.
Design and Implementation of an Enterprise Credit Risk Assessment Model Based on Improved Fuzzy Neural Network
Published in Applied Artificial Intelligence, 2023
Therefore, the effective interference time is , and the interference is effective only when there is . Whether the target frequency hopping signal can be interfered is affected by the probability that the interferer detects the target signal and the probability of successful release of the interference, that is, . The bit error rate of enterprise financial credit data transmission under interference is set to , and the bit error rate is when there is no interference, then B is related to the receiver signal-to-interference ratio, and is related to the signal-to-noise ratio. Therefore, in the presence of interference, the bit error rate is , and when there is no interference, the bit error rate is , then the average bit error rate is,
Performance Evaluations of Amplify-and-Forward Relaying System Over Weibull-Gamma Fading Environment
Published in IETE Journal of Research, 2019
Aleksandra M. Cvetkovic, Jelena A. Anastasov
The performance measures of dual-hop systems operating in the presence of both fast fading and shadowing can be found in [8,9,11–13]. The performance of CSI-based dual-hop relays over generalized-K fading channel was addressed in [8,9]. In [11], the exact expression and bound of error and outage performance for dual-hop relaying systems over shadowed Ricean fading channels were given. In [12], according to the advanced extended generalized-K (EGK) distribution, error performance of AF relaying system over general EGK fading channel with noise has been presented. The EGK distribution unifies a lot of fading/shadowing distributions as its special or limiting cases. The Weibull-gamma distribution is a limiting case of EGK distribution, so the results presented in [12] can be only used as approximate for the same system over Weibull-gamma environment. In [13], the outage probability of upper bound end-to-end signal-to-noise ratio (SNR) and signal-to-interference ratio (SIR) over composite EGK fading channels is derived. This approximation of outage performance is highly accurate for practical multipath and shadowing fading scenarios.