Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246774
P. Totarong, A. El-Jaroudi
The proposed method is based on the signal eigenvectors of the covariance matrix being a linear combination of the direction vectors which contain the DOA information. By applying a high-resolution frequency estimation algorithm to an element sequence of a combination of signal eigenvectors, the proposed method has better performance at low SNR. For example, it is about 5 dB more robust to noise than spatial-smoothed MUSIC and Minimum-Norm.<>
{"title":"A novel approach for robust high-resolution DOA estimation","authors":"P. Totarong, A. El-Jaroudi","doi":"10.1109/SSAP.1992.246774","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246774","url":null,"abstract":"The proposed method is based on the signal eigenvectors of the covariance matrix being a linear combination of the direction vectors which contain the DOA information. By applying a high-resolution frequency estimation algorithm to an element sequence of a combination of signal eigenvectors, the proposed method has better performance at low SNR. For example, it is about 5 dB more robust to noise than spatial-smoothed MUSIC and Minimum-Norm.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115189561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246886
P. Musumeci
When signal parameter estimates are inexact, one approach is to use multiple OAFs to extract individual signals from which signal estimates may be refined to give new filters. In temporal regions where only coherent interference is present, the (unwanted) filter output may be combined with gradient information to adapt signal parameter estimates and hence improve filtering. This work directly obtains the filter rejection response in terms of signal parameters so that an analytical expression for gradient may be derived. It is believed that an exact gradient expression will lead to improved adaptive filtering.<>
{"title":"Interference response of adaptive optimal array filters","authors":"P. Musumeci","doi":"10.1109/SSAP.1992.246886","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246886","url":null,"abstract":"When signal parameter estimates are inexact, one approach is to use multiple OAFs to extract individual signals from which signal estimates may be refined to give new filters. In temporal regions where only coherent interference is present, the (unwanted) filter output may be combined with gradient information to adapt signal parameter estimates and hence improve filtering. This work directly obtains the filter rejection response in terms of signal parameters so that an analytical expression for gradient may be derived. It is believed that an exact gradient expression will lead to improved adaptive filtering.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122988776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246790
S. Valaee, P. Kabal
The authors apply a two-sided transformation on the cross-correlation matrices of the array. It is shown that the two-sided correlation transformation (TCT) generates unbiased estimates of the directions of arrival regardless of the bandwidth of the signals. The capability of the method for resolving two closely spaced sources is compared with that of the coherent signal-subspace method. The resolution threshold for the new technique is smaller.<>
{"title":"A unitary transformation algorithm for wideband array processing","authors":"S. Valaee, P. Kabal","doi":"10.1109/SSAP.1992.246790","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246790","url":null,"abstract":"The authors apply a two-sided transformation on the cross-correlation matrices of the array. It is shown that the two-sided correlation transformation (TCT) generates unbiased estimates of the directions of arrival regardless of the bandwidth of the signals. The capability of the method for resolving two closely spaced sources is compared with that of the coherent signal-subspace method. The resolution threshold for the new technique is smaller.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123547176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246862
D. L. Wilson, J. Wayman
The short term sample spectrum is examined to determine if the sample spectrum is noise-like. The parameters measured are nonparametric and include the sample coefficient of variation, the center frequency, the bandwidth, and higher order measures of the spectrum. For a typical application in a voice grade channel, the performance of the detector is orders of magnitude better than the usual adaptive short term energy threshold detectors. The time between false alarms goes from minutes to days for a given detection probability. The detection is independent of the signal amplitude. There are no adaptive thresholds requiring signal history for operation. Signals may be detected in a very short time after the analysis is begun, the time required to accumulate enough samples to form one sample spectrum.<>
{"title":"Signal detection by detecting departure from noise","authors":"D. L. Wilson, J. Wayman","doi":"10.1109/SSAP.1992.246862","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246862","url":null,"abstract":"The short term sample spectrum is examined to determine if the sample spectrum is noise-like. The parameters measured are nonparametric and include the sample coefficient of variation, the center frequency, the bandwidth, and higher order measures of the spectrum. For a typical application in a voice grade channel, the performance of the detector is orders of magnitude better than the usual adaptive short term energy threshold detectors. The time between false alarms goes from minutes to days for a given detection probability. The detection is independent of the signal amplitude. There are no adaptive thresholds requiring signal history for operation. Signals may be detected in a very short time after the analysis is begun, the time required to accumulate enough samples to form one sample spectrum.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122562546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246873
M. Clark
A general representation for all non-negative, modulation invariant estimators of the frequency-wavenumber spectrum shows explicitly how the quadratic estimates are constructed from linear transformations of the array data. The windows associated with these transformations are those normally associated with 'classical' spectrum estimators. The authors present closed form representations for the moments of quadratic estimators, and show that variance decreases as the number of orthogonal windows increases. Since a time-bandwidth product bounds the number of orthogonal windows with given selectivity, the design process involves the classical issue of trading resolution and variance. With this issue in mind, the development of both separable and inseparable windows is considered.<>
{"title":"Frequency-wavenumber spectrum analysis using quadratic estimators","authors":"M. Clark","doi":"10.1109/SSAP.1992.246873","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246873","url":null,"abstract":"A general representation for all non-negative, modulation invariant estimators of the frequency-wavenumber spectrum shows explicitly how the quadratic estimates are constructed from linear transformations of the array data. The windows associated with these transformations are those normally associated with 'classical' spectrum estimators. The authors present closed form representations for the moments of quadratic estimators, and show that variance decreases as the number of orthogonal windows increases. Since a time-bandwidth product bounds the number of orthogonal windows with given selectivity, the design process involves the classical issue of trading resolution and variance. With this issue in mind, the development of both separable and inseparable windows is considered.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125336278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246866
M. Zoltowski, G. Kautz, C. P. Mathews
If one employs conjugate centro-symmetric beamforming weight vectors in conjunction with a uniformly-spaced linear array, the noise eigenvectors in Beamspace MUSIC may be computed as the 'smallest' eigenvectors of the real part of the beamspace sample covariance matrix. Through theoretical performance analysis and verification via Monte Carlo simulations, this paper shows that taking the real part offers significant performance gains in addition to computational gains, particularly for correlated sources.<>
{"title":"Performance analysis of eigenstructure based DOA estimators employing conjugate symmetric beamformers","authors":"M. Zoltowski, G. Kautz, C. P. Mathews","doi":"10.1109/SSAP.1992.246866","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246866","url":null,"abstract":"If one employs conjugate centro-symmetric beamforming weight vectors in conjunction with a uniformly-spaced linear array, the noise eigenvectors in Beamspace MUSIC may be computed as the 'smallest' eigenvectors of the real part of the beamspace sample covariance matrix. Through theoretical performance analysis and verification via Monte Carlo simulations, this paper shows that taking the real part offers significant performance gains in addition to computational gains, particularly for correlated sources.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121183629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246794
A. Weiss, B. Friedlander
The authors consider the problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array. This is accomplished by first estimating the signal directions and polarizations, and then computing the weights of the corresponding linear combiner. Closed form expressions are derived for the output Signal-to-Interference Ratio and Signal-to-Noise Ratio of a general diversely polarized array. It is shown that polarization sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays.<>
{"title":"Performance analysis of signal estimation using polarization sensitive arrays","authors":"A. Weiss, B. Friedlander","doi":"10.1109/SSAP.1992.246794","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246794","url":null,"abstract":"The authors consider the problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array. This is accomplished by first estimating the signal directions and polarizations, and then computing the weights of the corresponding linear combiner. Closed form expressions are derived for the output Signal-to-Interference Ratio and Signal-to-Noise Ratio of a general diversely polarized array. It is shown that polarization sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126480317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246860
S. V. Schell
Whittle's theorem greatly facilitates the computation of the Cramer-Rao bound (CRB) for stationary signals by establishing that the Fisher information matrix can be asymptotically re-expressed in terms of the spectral density matrix, which for stationary signals is diagonal and thus is easily invertible. A generalization that accommodates cyclostationary signals is proposed, and examples of its application to computing the CRB for parameters of cyclostationary signals are given.<>
{"title":"Generalization of Whittle's theorem to cyclostationary signals","authors":"S. V. Schell","doi":"10.1109/SSAP.1992.246860","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246860","url":null,"abstract":"Whittle's theorem greatly facilitates the computation of the Cramer-Rao bound (CRB) for stationary signals by establishing that the Fisher information matrix can be asymptotically re-expressed in terms of the spectral density matrix, which for stationary signals is diagonal and thus is easily invertible. A generalization that accommodates cyclostationary signals is proposed, and examples of its application to computing the CRB for parameters of cyclostationary signals are given.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132167846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246868
K. Baugh
This presentation briefly reviews the modeling of finite energy signals using a linear time-varying system excited by white noise. General properties of this model are consistent with intuition regarding transients produced by physical systems. The implications of these assumed model properties for observable features to obtain a detector based on the spectral correlation function are presented. The results of testing the proposed detector vis-a-vis a conventional power spectral detector are given.<>
{"title":"Transient signal modelling and detection using spectral correlation","authors":"K. Baugh","doi":"10.1109/SSAP.1992.246868","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246868","url":null,"abstract":"This presentation briefly reviews the modeling of finite energy signals using a linear time-varying system excited by white noise. General properties of this model are consistent with intuition regarding transients produced by physical systems. The implications of these assumed model properties for observable features to obtain a detector based on the spectral correlation function are presented. The results of testing the proposed detector vis-a-vis a conventional power spectral detector are given.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132730616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-10-07DOI: 10.1109/SSAP.1992.246793
C. Tseng, L. Griffiths
This paper investigates the issue of finding appropriate weighting coefficients which suppress a maximum number of sidelobes to an arbitrarily specified level. The performance of the resulting system is compared with an equi-spaced array having the same aperture.<>
{"title":"Sidelobe suppression in minimum redundancy linear arrays","authors":"C. Tseng, L. Griffiths","doi":"10.1109/SSAP.1992.246793","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246793","url":null,"abstract":"This paper investigates the issue of finding appropriate weighting coefficients which suppress a maximum number of sidelobes to an arbitrarily specified level. The performance of the resulting system is compared with an equi-spaced array having the same aperture.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132779770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：