Add to ORKGlarge sample maximum likelihood techniques for parameter estimation and detection in array processing ’ in HAYKIN, s., LITVA, J., and SHEPHERD, T. (Eds.): ‘Radar: Array Processing ’ (Springer Verlag, Berlin, 1993) ch. 4, pp. 99-151 MARCOS, S. (Ed.): ‘Les mkthodes a haute resolution: traitement d’antenne et analyse spectrale ’ (HermCs, Paris, 1998) CADZOW, J.: ‘Direction-of-arrival estimation using signal subspac
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
This paper deals with the problem of estimating signal parameters using an array of sensors. This pr...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
This paper analyzes the performance of methods for estimating the parameters of narrowband signals a...
The authors analyze the performance of methods for estimating the parameters of narrowband signals a...
Signal parameter estimation from sensor array measurements or multiple channel time series observati...
irection of arrival estimation of multiple sources, using a uniform linear array, in noise with unkn...
irection of arrival estimation of multiple sources, using a uniform linear array, in noise with unkn...
Abstract—This paper describes several new techniques for di-rection of arrival (DOA) estimation usin...
We consider robust and computationally efficient maximum likelihood algorithms for estimating the pa...
Ce manuscrit est dédié à l’analyse de performances en traitement d’antenne pour l’estimation des par...
We consider robust and computationally efficient maximum like-lihood algorithms for estimating the p...
A novel and efficient algorithm for computing the maximum likelihood estimates of multiple signals o...
This Thesis develops algorithms for the processing of data from an array of sensors. Of particular i...
This paper concerns the performance of the class of signal subspace fitting algorithms for signal pa...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
This paper deals with the problem of estimating signal parameters using an array of sensors. This pr...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
This paper analyzes the performance of methods for estimating the parameters of narrowband signals a...
The authors analyze the performance of methods for estimating the parameters of narrowband signals a...
Signal parameter estimation from sensor array measurements or multiple channel time series observati...
irection of arrival estimation of multiple sources, using a uniform linear array, in noise with unkn...
irection of arrival estimation of multiple sources, using a uniform linear array, in noise with unkn...
Abstract—This paper describes several new techniques for di-rection of arrival (DOA) estimation usin...
We consider robust and computationally efficient maximum likelihood algorithms for estimating the pa...
Ce manuscrit est dédié à l’analyse de performances en traitement d’antenne pour l’estimation des par...
We consider robust and computationally efficient maximum like-lihood algorithms for estimating the p...
A novel and efficient algorithm for computing the maximum likelihood estimates of multiple signals o...
This Thesis develops algorithms for the processing of data from an array of sensors. Of particular i...
This paper concerns the performance of the class of signal subspace fitting algorithms for signal pa...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
This paper deals with the problem of estimating signal parameters using an array of sensors. This pr...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...