| Array signal processing which has been developed rapidly in recent years, is a very important content of modern signal processing and used widely in engineering application such as radar, sonar, communication, land and ocean exploring, seismic and biomedical signal processing etc. The aim of the array signal processing is to detect signals and extract parameters by exploiting the temporal and spatial information of the signals, which are acquired by the sensors array that placed by some rules and multi-receivers. Array signal processing attracts much more attention because of its excellent virtues such as adaptive beamforming, strong noise suppression and super resolution power and so on. Meanwhile, lots of research achievements appeared. Most of existing research works based on the scalar sensors array, which means each sensor of the array can only acquire the one component of the electromagnetic signals, and the output of the sensor only comprises the amplitudes and absolute phases of the received signals.In fact, the space electromagnetic signal is vector signal, which comprises total of three electric-field components and three magnetic-field components. If all or part of the electric-field and magnetic-field information can be acquired and exploited, then the performance of the array signal processing will be improved greatly. The electromagnetic vector sensor, which can acquire the complete electric-field components and magnetic-field components, attracts much more attention in recent year. An electromagnetic vector sensor is composed of six spatially co-located, orthogonally oriented and diversely polarized antennas, separately measuring all six electromagnetic-field components of an incident wave-field. The array formed by electromagnetic vectors sensor or trimmed vector sensors called vector sensors array. In other hand, as the vector sensors array can acquire the polarization state of the impinging signals, it is often called...
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