This paper considers the performance of the conventional beamformer (BF) for estimating the bearing of a single, far-field, narrow-band, spatially distributed source with an array of passive sensors. The BF offers significant computational advantage compared to the (asymptotically optimum) maximum likelihood estimators (MLE's) which require searches over some multi-dimensional parameter space. However, the price to be paid for such a reduction in computational complexity is a degradation in performance compared to that of the MLE's. This paper studies the nature of this degradation for 'coherently' and 'incoherently' distributed sources as a function of key scenario parameters such as signal-to-noise-ratio (SNR), mean angle, spatial spreading of the source, and number of sensors, both mathematically and by simulations.
|Number of pages||4|
|State||Published - 1998|
|Event||Proceedings of the 1998 9th IEEE SP Workshop on Statistical Signal and Array Processing - Portland, OR, USA|
Duration: 14 Sep 1998 → 16 Sep 1998
|Conference||Proceedings of the 1998 9th IEEE SP Workshop on Statistical Signal and Array Processing|
|City||Portland, OR, USA|
|Period||14/09/98 → 16/09/98|