TY - JOUR
AU - Pinto Lemos, Rodrigo
AU - Leao e Silva, Hugo Vinicius
AU - Flôres, Edna Lúcia
AU - Kunzler, Jonas Augusto
PY - 2021/03/04
Y2 - 2021/03/04
TI - Mathematical Analysis and Improvement of the Maximum Spatial Eigenfilter for Direction of Arrival Estimation
JF - Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe)
JA - JMOE
VL - 20
IS - 1
SE - Regular Papers
DO - 10.1590/2179-10742021v20i1874
UR - http://www.jmoe.org/index.php/jmoe/article/view/874
SP - 76-91
AB - <p>Maximum spatial eigenfiltering improves the accuracy of maximum likelihood direction-of-arrival estimators for closely-spaced signal sources but may interchangeably attenuate widely-spaced signal sources, producing a severe performance degradation. Although this behavior has been observed experimentally, it still lacks a mathematical explanation. In our previous work, we overcame these limitations using a differential spectrum-based spatial filter but this still caused a small degradation in the DOA estimate. In this paper, we develop a mathematical analysis of how the signal source separation and the Karhunen-Loève expansion affect the passbands of the maximum spatial eigenfilter. The farther the sources, the less significant is the maximum eigenvalue of the spatial correlation matrix and its corresponding eigenvector. Then, the magnitude response of the maximum spatial eigenfilter no longer approximates the spatial power spectrum and is not guaranteed to place multiple passbands around the signal sources. Consequently, we propose a spatial filter built from the eigenvectors of the entire signal subspace. This filter showed an overall runtime smaller than that of our previous work. It also provides a significant reduction in the threshold signal-to-noise ratio for closely-spaced signal sources and does not hamper the estimation for widely-spaced signal sources.</p>
ER -