EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Robust Detection of Fading Narrow Band Signals in Non Gaussian Noise

Download or read book Robust Detection of Fading Narrow Band Signals in Non Gaussian Noise written by M. Weiss and published by . This book was released on 1985 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this report, we study procedures for robust detection of slowly fading narrowband signals in nearly Gaussian noise, a common model for radar/sonar systems. For the classical quadrature matched filter test, we introduce an uncertainty about the envelope statistic and develop a robust test for this one-sample situation. It is demonstrated that this test is capable of protecting only against relatively weak contaminations. With uncertainty taken directly on the noise samples, we develop an estimation-detection theoretic approach: The detection statistic preserves the structure of the quadrature matched filter, but in place of the linear sample mean, a minimax robust estimator of the random amplitude is substituted. This test is shown to be asymptotically maximin optimal (in the sense of Huber) for a wide family of decision rules and for several common target signal models. Originator supplied keywords include: robust detection; non-Gaussian detection; fading narrow-band signals; combined robust estimation-detection; scale invariance; and adaptive threshold.

Book Robust and Nonparametric Detection of Fading Narrowband Signals

Download or read book Robust and Nonparametric Detection of Fading Narrowband Signals written by Moshe Weiss and published by . This book was released on 1985 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis deals primarily with the design and analysis of algorithms for detection of narrow-band slowly fading signals, embedded in noise of uncertain distribution. The signal's phase and amplitude are random, but are random, but are essentially constant over the observation interval; in addition, the Doppler frequency of the signal is unknown. This is the most common model of target echoes received by radar or sonar systems. Attention is focused on i.i.d. noise samples whose marginal distribution belongs to an epsilon-mixture family, where the scale (variance) of the nominal part of the distribution is also unknown. This is an important generalization of the model. The purpose of the derived detection algorithms is two-fold: first, to assure constant probability of false alarm, regardless of the noise distribution (DF-CFAR); and second, to achieve optimal maximin probability of detection (Pd) performance. Keywords: fading narrow-band signals, robust detection, nonparametric detection, and scale invariance.

Book Topics in Non Gaussian Signal Processing

Download or read book Topics in Non Gaussian Signal Processing written by Edward J. Wegman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Gaussian Signal Processing is a child of a technological push. It is evident that we are moving from an era of simple signal processing with relatively primitive electronic cir cuits to one in which digital processing systems, in a combined hardware-software configura. tion, are quite capable of implementing advanced mathematical and statistical procedures. Moreover, as these processing techniques become more sophisticated and powerful, the sharper resolution of the resulting system brings into question the classic distributional assumptions of Gaussianity for both noise and signal processes. This in turn opens the door to a fundamental reexamination of structure and inference methods for non-Gaussian sto chastic processes together with the application of such processes as models in the context of filtering, estimation, detection and signal extraction. Based on the premise that such a fun damental reexamination was timely, in 1981 the Office of Naval Research initiated a research effort in Non-Gaussian Signal Processing under the Selected Research Opportunities Program.

Book Scientific and Technical Aerospace Reports

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Simplified Robust Adaptive Detection and Beamforming for Wireless Communications

Download or read book Simplified Robust Adaptive Detection and Beamforming for Wireless Communications written by Ayman ElNashar and published by John Wiley & Sons. This book was released on 2018-08-20 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several systems models including DS/CDMA, OFDM/MIMO with antenna array, and general antenna arrays beamforming model. It presents and analyzes recently developed detection and beamforming algorithms with an emphasis on robustness. In addition, simplified and efficient robust adaptive detection and beamforming techniques are presented and compared with exiting techniques. Practical examples based on the above systems models are provided to exemplify the developed detectors and beamforming algorithms. Moreover, the developed techniques are implemented using MATLAB—and the relevant MATLAB scripts are provided to help the readers to develop and analyze the presented algorithms. em style="mso-bidi-font-style: normal;"Simplified Robust Adaptive Detection and Beamforming for Wireless Communications starts by introducing readers to adaptive signal processing and robust adaptive detection. It then goes on to cover Wireless Systems Models. The robust adaptive detectors and beamformers are implemented using the well-known algorithms including LMS, RLS, IQRD-RLS, RSD, BSCMA, CG, and SD. The robust detection and beamforming are derived based on the existing detectors/beamformers including MOE, PLIC, LCCMA, LCMV, MVDR, BSCMA, and MBER. The adopted cost functions include MSE, BER, CM, MV, and SINR/SNR.

Book Smart Technologies in Urban Engineering

Download or read book Smart Technologies in Urban Engineering written by Olga Arsenyeva and published by Springer Nature. This book was released on 2022-11-29 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive review of smart technologies and perspectives on their application in urban engineering. It covers a wide range of applications, from transport and energy management to digital manufacturing, smart city, environment, and sustainable development, providing readers with new ideas for future research and collaborations. This book presents select papers from the International Conference on Smart Technologies in Urban Engineering (STUE-2022), held to commemorate the 100th anniversary of the O.M. Beketov National University of Urban Economy in Kharkiv, Ukraine, on June 9–11, 2022. All the contributions offer plenty of valuable information and would be of great benefit to the experience exchange among scientists in urban engineering.

Book SPAWC

Download or read book SPAWC written by and published by . This book was released on 1997 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Suboptimal Threshold Detection in Narrowband Non Gaussian Noise

Download or read book Suboptimal Threshold Detection in Narrowband Non Gaussian Noise written by Kenneth S. Vastola and published by . This book was released on 1983 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Middleton Class A narrowband non-Gaussian noise model is considered. The performance of various simple suboptimum threshold detectorss is examined and compared with the performance of the optimum detector. For example, it is shown that for most cases of interest the blanker has nearly optimal performance whille the soft limiter and hard limiter have substantially less than optimal performance. Then, a new approximation of the locally optimum detector nonlinearity is developed using ideas from the theory of robust detection. (Author).

Book Science Abstracts

Download or read book Science Abstracts written by and published by . This book was released on 1995 with total page 1360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Government Reports Announcements   Index

Download or read book Government Reports Announcements Index written by and published by . This book was released on 1986-06 with total page 1174 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Detection and Initial Tracking of Narrow Band Signals in Noise

Download or read book Detection and Initial Tracking of Narrow Band Signals in Noise written by Gerald W. Lank and published by . This book was released on 1973 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suppose a signal is observed for a time Tsec. It consists of white Gaussian noise and possibly the presence of one or more sine waves or narrow-band signals. It is desired to decide whether any sine waves or narrow-band signals are present; If they are present, their amplitudes and frequencies are of interest if one wishes to track them past the time T. Also they may be of interest for identification purposes. Modeling the sine waves or narrow-band signals as sine waves in all cases, this report presents a tutorial on the subject of detecting the presence of the sine waves and estimating their frequencies and amplitudes. It is shown that the use of a bank of narrow-band filters, each of bandwidth 1/T Hz and separated somewhat closer than 1/T, comes close to detecting the presence of the sine waves in an optimum manner. Near-optimum estimates of the amplitude and frequencies of the sine waves when present can be obtained from this same bank of filters. (Author).

Book Ternary Weak Signal Detection in Non Gaussian Noise  A Preliminary Analysis for  H Sub 0 N Vs H Sub 1  N   S Sub 1 Vs H Sub 2  N   S Sub 2  with Independent Sampling

Download or read book Ternary Weak Signal Detection in Non Gaussian Noise A Preliminary Analysis for H Sub 0 N Vs H Sub 1 N S Sub 1 Vs H Sub 2 N S Sub 2 with Independent Sampling written by and published by . This book was released on 1992 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: A general analysis of the Ternary Class (M = 2): H sub 0: N vs H sub 1: S1+ N vs H sub 2: S sub 2 + N of signal detection problems is is presented, for completely general signals, i.e., both broadband narrow-band, deterministic or random, in generalized (i.e., non-Gaussian) noise, in the limiting threshold regime. This includes optimum threshold algorithms and system performance, as measured by the appropriate error and detection probabilities. The present treatment, however, is subject to the following constraints: (1) independent noise sampling; (2) ambient noise models, i.e., noise independent of the signals; (3) uniform cost functions, e.g., C sub o (> 0) for errors, and C sub 1 = 0 for correct decisions. Under these conditions, only three principal parameters are needed: delta 12, delta 22 = signal detection parameters (= 'output (S/N) 2') and the correlation coefficient P sub 12 (= P) between the two (threshold) test statistics (or detection 'algorithms') Z sub 1, Z sub 2, apart from the a priori probabilities (q, p sub 1, P sub 2) of the presence of noise alone, S dub 1, and S sub 2. Next steps, to extend the treatment to the general case (M = 3): H sub 1: N + S sub 1, vs H sub 2: S sub 2 + N vs H sub 3 : S sub 3 + N, and to include correlated noise samples, are noted ... Ternary detection, Coherent and incoherent reception, Threshold signal detection, Generalized noise.