Blind Direction of Arrival Estimation of Coherent Sources Using Multi-Invariance Property

Zhang, Xiaofei; Yu, Jun; Feng, Gaopeng; Xu, Dazhuan

doi:10.2528/pier08110101

Cited by 13 publications

(7 citation statements)

References 32 publications

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“…Uniform linear antenna (ULA) arrays have been used in radar, sonar, electron reconnaissance, seismic data processing, and so on [1][2][3][4]. The direction-of-arrival (DOA) and frequency estimation of signals impinging on the ULAs are two fundamental problems in array processing [5][6][7][8][9][10]. The problem of joint DOA and frequency estimation arises in the applications of fields mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Improved ESPRIT Method for Joint Direction-of-Arrival and Frequency Estimation Using Multiple-Delay Output

Wang

Zhang

et al. 2012

International Journal of Antennas and Propagation

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An automatic pairing joint direction-of-arrival (DOA) and frequency estimation is presented to overcome the unsatisfactory performances of estimation of signal parameter via rotational invariance techniques- (ESPRIT-) like algorithm of Wang (2010), which requires an additional pairing. By using multiple-delay output of a uniform linear antenna arrays (ULA), the proposed algorithm can estimate joint angles and frequencies with an improved ESPRIT. Compared with Wang’s ESPRIT algorithm, the angle estimation performance of the proposed algorithm is greatly improved. The frequency estimation performance of the proposed algorithm is same with that of Wang’s ESPRIT algorithm. Furthermore, the proposed algorithm can obtain automatic pairing DOA and frequency parameters, and it has a comparative computational complexity in contrast to Wang’s ESPRIT algorithm. By the way, this proposed algorithm can also work well for nonuniform linear arrays. The useful behavior of this proposed algorithm is verified by simulations.

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Section: Introductionmentioning

confidence: 99%

Improved ESPRIT Method for Joint Direction-of-Arrival and Frequency Estimation Using Multiple-Delay Output

Wang

Zhang

et al. 2012

International Journal of Antennas and Propagation

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“…. , θ M by the DOA estimation method [25], where M is the number of all the interferers. Then the virtual antenna array steering vector in the interferer directionsā(θ 1 ),ā(θ 2 ), .…”

Section: Modified Interpolated Spatial Smoothing Algorithmmentioning

confidence: 99%

“…2, we divide p sub-arrays whose number of elements is m, namely, carrying on p times smoothing on the subarrays. For the kth sub-array, the data covariance matrixes via the ISS and MISS algorithms are showed in (25):…”

Section: Theoretical Analysismentioning

confidence: 99%

On Adaptive Beamforming for Coherent Interference Suppression via Virtual Antenna Array

Li¹,

Li²,

Yu³

2012

PIER

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Abstract-In this paper, we propose Modified Interpolated Spatial Smoothing (MISS) algorithm that solves the problem when the inhibition gain generated by Interpolated Spatial Smoothing (ISS) algorithm is not sufficiently high in virtual antenna adaptive beam forming to suppress coherent interference.Using the subspace projection concept, this paper establishes an interference subspace spanned by the interference steering vectors of the virtual antenna array, and then the interference direction information can be imported into the transformation matrix by projecting the transformation matrix into the subspace, which will make the interference components in virtual smoothing covariance matrix enhanced as it is demonstrated by theoretical analysis. Employing the Minimum Variance Distortionless Response (MVDR) beam forming method, the interference inhibition gain and Signal to Interference and Noise Ratio (SINR) performance can be significantly improved.

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“…So we should take effective measures to suppress interferences. Smart antenna [39][40][41][42][43][44][45][46][47][48][49]not only combats multipath fading, but also suppresses interference signals. When spatial signal processing achieved through smart antenna is combined with temporal signal processing, space-time 2D RAKE receiver can repair signal impairments to result in a higher network capacity, coverage, and quality.…”

Section: Introductionmentioning

confidence: 99%

Blind Paralind Multiuser Detection for Smart Antenna Cdma System Over Multipath Fading Channel

Zhang¹,

Gao²,

Wang³

2009

PIER

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Abstract-This paper links the multipath smart antenna CDMA system signal detection problem to the PARAllel profiles with LINear Dependencies (PARALIND), and derives a deterministic blind PARALIND algorithm whose performance is very close to nonblind space-time minimum mean square error (ST-MMSE) method. The blind PARALIND algorithm has the better performance than spacetime matched filter. The proposed PARALIND algorithm also works well in array error condition. Most notably, it does not require knowledge of the DOA (Direction Of Arrival) and channel fading information.

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Blind Direction of Arrival Estimation of Coherent Sources Using Multi-Invariance Property

Cited by 13 publications

References 32 publications

Improved ESPRIT Method for Joint Direction-of-Arrival and Frequency Estimation Using Multiple-Delay Output

Improved ESPRIT Method for Joint Direction-of-Arrival and Frequency Estimation Using Multiple-Delay Output

On Adaptive Beamforming for Coherent Interference Suppression via Virtual Antenna Array

Blind Paralind Multiuser Detection for Smart Antenna Cdma System Over Multipath Fading Channel

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