AbstractIn this paper, we optimize the size of aperture and number of sensors for Wideband Covariance Matrix Sparse representation (W-CMSR) method for Wideband Direction of Arrival estimation using Simulated Annealing. The performance of W-CMSR is obtained with initial number of sensors and aperture size. Then, we find the performance of W-CMSR with optimized number of sensors and aperture size using simulated annealing. We observe that same performance of W-CMSR is obtained with reduced number of sensors and aperture size by using simulated annealing
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
AbstractIn this paper, we optimize the size of aperture and number of sensors for Wideband Covarianc...
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple ...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
Abstract—From the co-array perspective, sparse spatial sam-pling can significantly increase the degr...
We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of arra...
This paper concerns wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs)....
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple ...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
International audienceDirection-of-Arrival (DoA) estimation is a quicklyprogressing study area. In r...
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse li...
University of Minnesota Ph.D. dissertation. February 2013. Major: Electrical Engineering. Advisor: P...
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
AbstractIn this paper, we optimize the size of aperture and number of sensors for Wideband Covarianc...
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple ...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
Abstract—From the co-array perspective, sparse spatial sam-pling can significantly increase the degr...
We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of arra...
This paper concerns wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs)....
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple ...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
International audienceDirection-of-Arrival (DoA) estimation is a quicklyprogressing study area. In r...
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse li...
University of Minnesota Ph.D. dissertation. February 2013. Major: Electrical Engineering. Advisor: P...
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...