TOPS: new DOA estimator for wideband signals

By Yeo-Sun Yoon, Lance M. Kaplan, J. McClellan. IEEE Transactions on Signal Processing, 2006

307 citations recorded by the source corpus.

This paper introduces a new direction-of-arrival (DOA) estimation algorithm for wideband sources called test of orthogonality of projected subspaces (TOPS). This new technique estimates DOAs by measuring the orthogonal relation between the signal and the noise subspaces of multiple frequency components of the sources. TOPS can be used with arbitrary shaped one-dimensional (1-D) or two-dimensional (2-D) arrays. Unlike other coherent wideband methods, such as the coherent signal subspace method (CSSM) and WAVES, the new method does not require any preprocessing for initial values. The performance of those wideband techniques and incoherent MUSIC is compared with that of the new method through computer simulations. The simulations show that this new technique performs better than others in mid signal-to-noise ratio (SNR) ranges, while coherent methods work best in low SNR and incoherent methods work best in high SNR. Thus, TOPS fills a gap between coherent and incoherent methods.

Subfields: Computational Mechanics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/648d28d374b0a8a3f44d8f67c543f28399b935d4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Lihua Xie
2. Zai Yang
3. Geoffrey Y. Li
4. F. Gao
5. Shi Jin
6. Mashud Hyder
7. Cisheng Zhang
8. Kaushik Mahata

In Signal Processing

1. Lihua Xie
2. Zai Yang
3. Shi Jin
4. F. Gao
5. Geoffrey Y. Li
6. Ivan Dokmanić
7. Robin Scheibler
8. Mashud Hyder

Citations in the corpus

• Direction-of-Arrival Estimation Using a Mixed $\ell _{2,0}$ Norm Approximation (2010, background): “Experimental results suggest that is a good choice for 5 dB to 20 dB SNR.”
• Pyroomacoustics: A Python Package for Audio Room Simulation and Array Processing Algorithms (2017, background): “…algorithms: the popular multiple signal classification (MUSIC) [13] and steered response power phase transform (SRP-PHAT) [14], as well as coherent signal subspace method (CSSM) [15], weighted average of signal subspaces (WAVES) [16], and test of orthogonality of projected subspaces (TOPS) [17].”
• Off-Grid Direction of Arrival Estimation Using Sparse Bayesian Inference (2011, background): “An approach to dealing with the wideband DOA estimation problem is to transform it into several narrowband ones by passing the observed signal through a bank of bandpass filters [25,40,41].”
• Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems (2017, background): “In fact, the spatial-wideband effect has been found in radar systems and has already been well studied in the area of array signal processing [26], [27].”