Accession Number : ADA261565


Title :   Array Signal Processing Under Model Errors With Application to Speech Separation


Descriptive Note : Annual progress rept. 1 Nov 1991-31 Oct 1992


Corporate Author : NOTRE DAME UNIV IN DEPT OF ELECTRICAL ENGINEERING


Personal Author(s) : Huang, Yih-Fang ; Liu, Ruey-Wen


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a261565.pdf


Report Date : 31 Oct 1992


Pagination or Media Count : 151


Abstract : In recent years there have been increasing interest in eigenstructure based array signal processing techniques especially in the areas of radar and sonar processing and in signal separation applications as found in communications or speech acquisition/enhancement. However, model errors are not accounted for in these methods. Unfortunately, the problem of model error is a ubiquitous part of real systems: they arise from such phenomena as non-ideal sensor characteristics (eg., sensor calibration errors in phase and gain, etc.), unknown source characteristics and locations, etc. This report is broadly divided into two parts. The first part examines the effects of model errors on the performance of existing eigenstructure based methods in array signal processing. A statistical analysis of the ESPRIT (Estimation of Signal Param via Invariance Techniques) algorithm under random model errors is performed. The analysis provides interesting insight into the sensitivity of ESPRIT to model errors: in particular, for uniform linear arrays of sensors, it is found that the mean square error of DOA (direction of arrival) estimates found using ESPRIT is almost totally dependent on errors in sensor phases and not that of sensor gains.


Descriptors :   *SIGNAL PROCESSING , *SPEECH RECOGNITION , *LINEAR ARRAYS , *ERROR CORRECTION CODES , ALGORITHMS , MODELS , MAXIMUM LIKELIHOOD ESTIMATION , EIGENVECTORS , ARRAYS , EIGENVALUES , RADAR , RADAR IMAGES , FAR FIELD , SENSITIVITY , ECHOES , SIGNALS , ERRORS , LEAST SQUARES METHOD , BEAM FORMING , GAIN , SONAR ARRAYS , NEAR FIELD , SONAR , ANTIJAMMING , INVARIANCE , MEAN , STATISTICAL ANALYSIS , TELECOMMUNICATIONS , PERTURBATIONS , COMMUNICATION AND RADIO SYSTEMS


Subject Categories : Cybernetics
      Acoustic Detection and Detectors
      Miscellaneous Detection and Detectors
      Active & Passive Radar Detection & Equipment
      Radio Communications
      Voice Communications


Distribution Statement : APPROVED FOR PUBLIC RELEASE