Considering the limiting factors of the polarization sensitive array (PSA) in realization, a novel Alternate polarizationarray (APA) has been proposed for the first time. The filtering performance has been presented ...
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Considering the limiting factors of the polarization sensitive array (PSA) in realization, a novel Alternate polarizationarray (APA) has been proposed for the first time. The filtering performance has been presented theoretically and numerically. APA has anti-jamming ability in both space and polarization domains, but quantity of equipment are cut by half compared with PSA. APA possesses of perspective in radar and other fields.
This paper proposes a new algorithm for joint frequency, two-dimensional （2-D） directions-of-arrival （DOA）, and polarization estimation using parallel factor （PARAFAC） analysis model and cumulant. The proposed a...
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This paper proposes a new algorithm for joint frequency, two-dimensional （2-D） directions-of-arrival （DOA）, and polarization estimation using parallel factor （PARAFAC） analysis model and cumulant. The proposed algorithm designs a new array configuration, and extends the PARAFAC analysis model from the common data-domain and subspace-domain to the cumulant one, and forms three-way arrays by using the three cumulant matrices obtained from the properly chosen dipole outputs, and analyzes the uniqueness of low-rank decomposition of the three-way arrays, and then jointly estimates the source parameters via the low-rank decomposition of the constructed PARAFAC model. In comparison with the conventional methods, the proposed method alleviates the aperture loss, and avoids pairing parameter. Finally, the simulation results are presented to validate the performance of the proposed method.
The filtering performance of polarization sensitive array is investigated theoretically, consisting of N pairs of crossed dipoles. The desired signal and interference are completely polarized and from random direction...
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ISBN:
(纸本)0780391284
The filtering performance of polarization sensitive array is investigated theoretically, consisting of N pairs of crossed dipoles. The desired signal and interference are completely polarized and from random directions. The outputting Signal to Interference plus Noise Ratio (SM) is mainly related with the spatial matching coefficient and polarizational matching coefficient between desired signal and interference. To gain the low SINR, the interference must come from the same direction and with the same polarization with the desired signal.
We consider the problem of estimating the parameters of distributed signals with electromagnetic vector sensors. In this paper, we consider situations where the sources are distributed not only in space with determini...
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ISBN:
(纸本)9781424421787
We consider the problem of estimating the parameters of distributed signals with electromagnetic vector sensors. In this paper, we consider situations where the sources are distributed not only in space with deterministic angular signal density, but also in polarization with partially polarized components. A distributed signals general model with polarizationsensitive sensor array (PSADIS-model) is first established with some reasonable assumptions. We propose an algorithm that estimates the parameters with this model based on the generalization MUSIC algorithm. We compare our method to the distributed signal parameter estimator (DSPE), and the simulation studies show significant advantages in using the proposed PSADIS-model with electromagnetic vector sensors. The simulation studies show that the new method outperforms the DSPE algorithm by improving resolution performance for scenario with distributed sources.
We consider the problem of estimating the parameters of distributed signals with electromagnetic vector *** this paper,we consider situations where the sources are distributed not only in space with deterministic angu...
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We consider the problem of estimating the parameters of distributed signals with electromagnetic vector *** this paper,we consider situations where the sources are distributed not only in space with deterministic angular signal density but also in polarization with partially polarized components.A distributed signals general model with polarizationsensitive sensor array (PSADIS-model) is first established with some reasonable *** propose an algorithm that estimates the parameters with this model based on the generalization MUSIC *** compare our method to the distributed signal parameter estimator (DSPE),and the simulation studies show significant advantages in using the proposed PSADIS-model with electromagnetic vector *** simulation studies show that the new method outperforms the DSPE algorithm by improving resolution performance for scenario with distributed sources.
The received signal of the polarization sensitive array is proved to have trilinear model characteristics. The blind parallel factor（PARAFAC） signal detection algorithm for the polarization sensitive array is propos...
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The received signal of the polarization sensitive array is proved to have trilinear model characteristics. The blind parallel factor（PARAFAC） signal detection algorithm for the polarization sensitive array is proposed. The trilinear alternating least square （TALS） algorithm is used to abtain the source matrix, and then the matrix is judged. Simulation results show that the bit error rate （BER） of the detection algorithm is close to that of the non-blind decorrelating method and the algorithm works well under the array error condition. BER difference between the non-blind method and this algorithm is less than 2 dB under a high SNR. The algorithm is blind and robust. The channel fading, the direction of arrive（DOA） imformation and the polarization information are needless in the algorithm.
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