This study presents two alternative techniques for the estimation of the target direction of arrival (DOA) for a moving radar equipped with digital beamforming, operating in look-down against strong clutter echoes. Both the considered techniques, namely AB space-time adaptive processing (AB-STAP) and generalised monopulse estimator, are based on a dual cancelled channel approach that simplifies their implementation. An extensive performance comparison is presented for the ground moving targets. Both the theoretical and simulated analyses of DOA estimation are performed, which include the comparison to the Cramer-Rao bound. The considered processing schemes are shown to yield comparable accuracies in target DOA estimation with respect to a maximum likelihood estimator. Moreover, they ensure lower computational cost, since no numerical maximisation of any functional is required. AB-STAP shows the additional nice property of estimation robustness when a limited set of homogeneous data is available to achieve the adaptivity. The comparison is finally performed applying the different estimators to a set of real multichannel data.
Direction of arrival estimation performance comparison of dual cancelled channels space-time adaptive processing techniques / Colone, Fabiola; Cristallini, Diego; D., Cerutti Maori; Lombardo, Pierfrancesco. - In: IET RADAR, SONAR & NAVIGATION. - ISSN 1751-8784. - 8:1(2014), pp. 17-26. [10.1049/iet-rsn.2012.0368]
Direction of arrival estimation performance comparison of dual cancelled channels space-time adaptive processing techniques
COLONE, Fabiola;CRISTALLINI, Diego;LOMBARDO, Pierfrancesco
2014
Abstract
This study presents two alternative techniques for the estimation of the target direction of arrival (DOA) for a moving radar equipped with digital beamforming, operating in look-down against strong clutter echoes. Both the considered techniques, namely AB space-time adaptive processing (AB-STAP) and generalised monopulse estimator, are based on a dual cancelled channel approach that simplifies their implementation. An extensive performance comparison is presented for the ground moving targets. Both the theoretical and simulated analyses of DOA estimation are performed, which include the comparison to the Cramer-Rao bound. The considered processing schemes are shown to yield comparable accuracies in target DOA estimation with respect to a maximum likelihood estimator. Moreover, they ensure lower computational cost, since no numerical maximisation of any functional is required. AB-STAP shows the additional nice property of estimation robustness when a limited set of homogeneous data is available to achieve the adaptivity. The comparison is finally performed applying the different estimators to a set of real multichannel data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.