DoA Estimation Performance and Computational Complexity of Subspace- and Compressed Sensing-based Methods
Conference: WSA 2015 - 19th International ITG Workshop on Smart Antennas
03/03/2015 - 03/05/2015 at Ilmenau, Deutschland
Proceedings: WSA 2015
Pages: 6Language: englishTyp: PDF
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Authors:
Stoeckle, Christoph; Munir, Jawad; Mezghani, Amine; Nossek, Josef A. (Institute for Circuit Theory and Signal Processing, Munich University of Technology, 80290 Munich, Germany)
Abstract:
We investigate the Direction of Arrival (DoA) estimation for small- and large-scale antenna arrays with a small and a large number of antenna elements, respectively. Two classes of algorithms are considered, namely subspace- and compressed sensing (CS)-based algorithms. We compare those algorithms in terms of both the DoA estimation performance and the computational complexity based on different parameters such as number of antenna elements, number of snapshots and quantization. From this comparison, we conclude that the subspace-based method ESPRIT is well suited for small-scale antenna systems while the CS-based method IHT is advantageous for large-scale antenna systems.