Precise Incident Power Density Pattern Measurement through Antenna Pattern Deconvolution
Wireless Personal Communications: An International Journal
Fast communication: a fast algorithm for 2-D direction-of-arrival estimation
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
A 2-D robust high-resolution frequency estimation approach
Signal Processing
Channel Estimation Method with Improved Performance for the UMTS-TDD Mode
Wireless Personal Communications: An International Journal
Conjugate unitary ESPRIT for real sources adapted to the coherent case
Signal Processing
An Approach to Solve Local Minimum Problem in Sound Source and Microphone Localization
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Optimally weighted ESPRIT using uniform circular arrays
Computers and Electrical Engineering
Comparative study of joint TOA/DOA estimation techniques for mobile positioning applications
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
A 2-D DOA estimation method based on blind source separation
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
SVD-based joint azimuth/elevation estimation with automatic pairing
Signal Processing
Computationally efficient 2D beamspace matrix pencil method for direction of arrival estimation
Digital Signal Processing
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
IEEE Transactions on Signal Processing
Hi-index | 35.69 |
The UCA-ESPRIT is a closed-form algorithm developed for use in conjunction with a uniform circular array (UCA) that provides automatically paired source azimuth and elevation angle estimates. The 2-D unitary ESPRIT is presented as an algorithm providing the same capabilities for a uniform rectangular array (URA). In the final stage of the algorithm, the real and imaginary parts of the ith eigenvalue of a matrix are one-to-one related to the respective direction cosines of the ith source relative to the two major array axes. The 2-D unitary ESPRIT offers a number of advantages over other proposed ESPRIT based closed-form 2-D angle estimation techniques. First, except for the final eigenvalue decomposition of a dimension equal to the number of sources, it is efficiently formulated in terms of real-valued computation throughout. Second, it is amenable to efficient beamspace implementations that are presented. Third, it is applicable to array configurations that do not exhibit identical subarrays, e.g., two orthogonal linear arrays. Finally, the 2-D unitary ESPRIT easily handles sources having one member of the spatial frequency coordinate pair in common. Simulation results are presented verifying the efficacy of the method