Computationally Efficient Subspace-Based Method for Direction-of-Arrival Estimation Without Eigendecomposition

J. Xin, A. Sano
<span title="">2004</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gkn2pu46ozb4tmkxczacnmtvkq" style="color: black;">IEEE Transactions on Signal Processing</a> </i> &nbsp;
In this paper, we propose a new computationally efficient subspace-based method without eigendecomposition (SUMWE) for the direction-of-arrival (DOA) estimation of narrowband signals impinging on a uniform linear array (ULA) by exploiting the array geometry and its shift invariance property. Further an adaptive implementation of the SUMWE is presented for tracking the time-varying directions of slowly moving (relative to the sampling rate) signals. The effectiveness of the proposed algorithm is
more &raquo; ... verified through numerical examples, and it is shown that the proposed algorithm is computationally simple and has a good tracking performance.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsp.2004.823469">doi:10.1109/tsp.2004.823469</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/obug4e2zcre4jegcqufsbhdxou">fatcat:obug4e2zcre4jegcqufsbhdxou</a> </span>
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