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Author: J. Krishnamurthy Publisher: ISBN: Category : Languages : en Pages : 88
Book Description
A class of Robust Detection Schemes for the detection of a class of time varying signals in additive disturbance are proposed and analyzed and their performance is evaluated. The proposed detection schemes are applicable for the detection of both binary and M-ary Amplitude Shift Keyed Signals. Two detection schemes are proposed for solving the detection problem where the samples of the received signal contain pure signal components that are all unequal. These detection schemes are designated as nonparametric detection scheme and Detection Scheme with Fixed Thresholds (DSFT). The performance of these detectors is compared with that of the Least Squares Detector. It is observed that the proposed detection schemes are robust and generally lead to lower probability of error. The asymptotic relative efficiency for the detectors is shown to be greater than unity under a variety of noise conditions. The performance of the proposed detectors is immune to intersymbol interference if it is assumed that the intersymbol interference can be replaced by an unknown constant. These detectors lead to other advantages such as being unaffected by unknown amounts of DC drifts or changes in the mean values of the noise. (Author).
Author: J. Krishnamurthy Publisher: ISBN: Category : Languages : en Pages : 88
Book Description
A class of Robust Detection Schemes for the detection of a class of time varying signals in additive disturbance are proposed and analyzed and their performance is evaluated. The proposed detection schemes are applicable for the detection of both binary and M-ary Amplitude Shift Keyed Signals. Two detection schemes are proposed for solving the detection problem where the samples of the received signal contain pure signal components that are all unequal. These detection schemes are designated as nonparametric detection scheme and Detection Scheme with Fixed Thresholds (DSFT). The performance of these detectors is compared with that of the Least Squares Detector. It is observed that the proposed detection schemes are robust and generally lead to lower probability of error. The asymptotic relative efficiency for the detectors is shown to be greater than unity under a variety of noise conditions. The performance of the proposed detectors is immune to intersymbol interference if it is assumed that the intersymbol interference can be replaced by an unknown constant. These detectors lead to other advantages such as being unaffected by unknown amounts of DC drifts or changes in the mean values of the noise. (Author).
Author: J. Krishnamurthy Publisher: ISBN: Category : Languages : en Pages : 37
Book Description
A robust detection scheme, called Detection Scheme with Learning of Thresholds (DSLT), for the detection of M-ary Amplitude Shift Keyed Signals is proposed and analyzed. It is shown that DSLT performs better (in the sense of lower probability of error) than the Detection Scheme with Fixed Thresholds. The improvement in performance is due to the fact that DSLT assumes a priori information regarding the approximate form of noise distribution, unlike DSFT. The performance of DSLT is independent of the mean value of the noise, unknown amounts of DC drifts and intersymbol interference if it can be assumed that the intersymbol interference can be replaced by an unknown constant. (Author).
Author: J. Krishnamurthy Publisher: ISBN: Category : Languages : en Pages : 101
Book Description
Two Robust Detection Schemes for the detection of a class of time varying signals in additive disturbance are proposed and analyzed and their performance is evaluated. The proposed detection schemes, called Robust Detection Scheme I (RDSI) and Robust Detection Scheme II (RDSII) are applicable when the samples of the received signal or a filtered version of the received signal contain pure signal components that are all equal. It is shown that both binary and M-ary Phase Shift Keyed and Frequency Shift Keyed Signals can be detected by using RDSI and RDSII. The performance of the detectors is compared with that of the Mean and Sign detectors. It is observed that the proposed detectors generally lead to lower probability of error, except when the Mean and the Sign detectors are the Maximum Likelihood detectors. Analytical expressions for the average probability of error, the asymptotic relative efficiency and the asymptotic efficiency are derived and it is shown that the proposed detectors are superior or equivalent to the Sign detector and superior to the Mean detector in nongaussian noise. (Author).
Author: N. W. Rees Publisher: ISBN: Category : Languages : en Pages : 17
Book Description
In 'IR Signal Processing Methods, ' by Rees, a nonparametric detection scheme was described using the idea of Rank Statistics. This note describes experimental results obtained using the scheme and adaptations made to produce a more satsifactory system. Results of the system after modification are also presented. The system consists of two detectors each looking at a slightly different, but adjacent, fields of view. When the signal occurs it will occur in one or other of the channels. The assumption is made that it cannot occur simultaneously in both channels, however, when it does occur it doesn't matter which channel contains the signal. The signal processing operates on data collected from both channels and attempts to identify when a signal has occurred.
Author: J. Krishnamurthy
Author: J. Krishnamurthy
Author: J. Krishnamurthy
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Author: J. Krishnamurthy
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Author: Adam Dennis Hall
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Author: N. W. Rees