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We present a new approach for inverting time-domain electromagnetic data to recover the location and magnetic dipole polarizations of a limited number of buried objects. We form the multichannel electromagnetic induction (EMI) sensor data as a spatial–temporal response matrix (STRM). The rows of the STRM correspond to measurements sampled at different time channels from one sensor and the columns...
When the desired signal is present in the training snapshots, the performance of conventional orthogonal projection (OP) adaptive beamforming degrades severely due to the desired signal cancellation effect. To overcome this deficiency, the improved orthogonal projection (IOP) adaptive beamforming by using reconstructed interference covariance matrix is proposed. In the proposed algorithm, the interference...
Consider the problem of estimating the position and the velocity of an emitter given time and frequency differences of arrival acquired by a passive sensor array. By jointly eliminating the non-linear nuisance parameters of the model using an appropriate orthogonal projection, we obtain a least squares estimator of the parameters of interest. The advantage of the proposed estimator is the reduction...
Conventional blind beamformers in DS-CDMA systems generally suffer from either unreliable convergence rate or signal cancellation in practical signal environment. In this paper, we propose a novel orthogonal projection scheme to extract spatial interference structure for the blind beamformer, which requires neither the direction of the desired signal nor the array geometry information. Exploiting...
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