Study On Methods Of DOA And Polarization Estimation Based On Fractional Lower-order Statistics In Impulse Environment

The electromagnetic vector sensor array signal processing is a new emerging subdiscipline in array signal processing domain,which is widely used in radar, sonar and communication etc.. In recent years, DOA and polarization parameters estimation of signals using array of electromagnetic (EM) vector sensors(VS's) be taken attention and has become a hotspot.The research on DOA and polarization parameters simultaneous estimation using an array of electromagnetic vector sensor is of great significant in academy and practical application. People who have used traditional scalar sensor array on DOA estimation for a long time, have massive academic achievements. Through this system we cannot obtain the integrated electric and magnetic fields information but only the information on one field component. The array element output only reflected the receive signal intensity and the absolute phase. The lack of information will eventually affects the algorithm performance. However, EMVS can provide complete electric and magnetic fields, which is composed of three orthogonal electric dipoles and three corresponding orthogonal magnetic dipoles. Not only it can use its array geometry structure to acquire the spatial information of the signal, but also can acquire all polarization information. So it has higher information acquire ability than the common arrays due to the additional polarization information. Compared with traditional scalar sensors, electromagnetic vector sensor array has a better performance: steady detective ability, stronger anti-jamming ability as well as higher space resolution.At present the mass of method used in electromagnetic vector sensor array signal processing domain is based on supposition of the white Gaussian noise and the steady signal. But in practical environment, the Non-Gaussian noise exited widely. For example, Such as radar, acoustic signals, low-frequency atmospheric noise, some of the biomedical signals are non-Gaussian distribution, etc., so that Gaussian model used to deal with will be not very accurate. ? Stable distribution is a very important non-Gaussian random distribution, are widely used in underwater, air and biomedical signal processing and other fields. In recent years, the ? stable distribution and the corresponding statistics based on the fractional low-order statistics processing in underwater acoustic and radar signal processing, speech signal processing, time delay estimation, biomedical signal processing and in many areas has been widely used. In this paper, the electromagnetic vector sensor array is rich in the characteristics of redundant information, combined with the specific characteristics of the signal to start the context of impulse noise statistics based on the fractional low-order statistics in the direction of arrival and polarization parameters of the study is estimated at the same time.Through the study of the fractional low-order statistics, it found a number of non-Gaussian noise to the inhibitory effect better than traditional methods. This paper proposes the method of 2-D Direction-of-Arrival(DOA) and polarization parameters which based on the fractional low-order statistics. It is better solve the problem of Non-Gaussian impulse noise. The arrangement as follows:Firstly, it used the electromagnetic vector sensor estimate the DOA and polarization parameters for the Phase modulation signal. It proposed the method of DOA and polarization parameters based on the impules noise. And through simulation experiments and second-order statistics based on the circular array method of comparative analysis. It proves the method has great inhibitory to the impulse noise and great estimation of DOA and polarization parameters.Secondly, it used the sparse L array to reduce Mutual coupling between sensors, and the advantage of improve the estimate characteristic. It proposed the method of DOA and polarization parameters based on fractional low-order statistics sparse L array of the electromagnetic vector sensor under impulse noise background. And make a comparative with the second-order statistics of sparse L array electromagnetic vector sensor to prove the effective of this method.