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A Derivative-Based MUSIC Algorithm for Two-Dimensional Angle Estimation Employing an L-Shaped Array
- Source :
- ISSPIT
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- In this paper, a derivative-based MUSIC (DB-MUSIC) algorithm for two-dimensional (2-D) direction-of-arrival (DOA) estimation is proposed using an L-shaped uniform array. It transforms the traditional 2-D search problem into a one-dimensional (1-D) one using a derivative based optimization method, taking into consideration the structure of the steering vector and the associated cost function. As a result, the proposed algorithm has a significantly low computational complexity with the additional benefit of no need for 2-D angle pairing. Simulation results show that the proposed algorithm has better estimation accuracy than some existing representative 2-D DOA estimation algorithms falling into the same category, i.e., low complexity through 1-D search with no need for pairing.
- Subjects :
- Computational complexity theory
Computer science
Structure (category theory)
020206 networking & telecommunications
02 engineering and technology
Function (mathematics)
Derivative
Low complexity
Pairing
0202 electrical engineering, electronic engineering, information engineering
Search problem
020201 artificial intelligence & image processing
Multiple signal classification
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
- Accession number :
- edsair.doi...........85afe727759cdfb124f00a0c8f3ffe37