Combined Esprit-Rootmusic for Doa-Dod Estimation in Polarimetric Bistatic Mimo Radar

Bencheikh, Mohamed-Laid; Wang, Yide

doi:10.2528/pierl11020301

Cited by 32 publications

(35 citation statements)

References 13 publications

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“…Subsequently, for two-dimensional (2D) DOA estimation, MUSIC algorithm performs a spectrum peak search for all angles in azimuth and elevation what causes demanding computations, and makes this algorithm unsuitable for real-time user tracking. To overcome this problem a number of algorithms have been developed [4][5][6][7][8][9][10][11][12][13][14][15][16]. For 2D scenarios, ESPRIT algorithm is extended in [10], to provide both azimuth and elevation estimates.…”

Section: Introductionmentioning

confidence: 99%

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Agatonovic¹,

Stankovic²,

Milovanović³

et al. 2013

PIER

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Abstract-In this paper, we present an efficient Artificial Neural Network (ANN)-based model to estimate both azimuth and elevation arrival angles of a signal source. To achieve this goal, the ANN model is constructed using measurement data obtained by a rectangular antenna array in the space-frequency domain. Unlike classical superresolution algorithms such as 2D MUSIC, the proposed model is capable to account for imperfections of measurement equipment as well as mutual couplings between array elements. The neural model has been verified for several angular positions and frequencies. It is shown that the use of ANN model to estimate angular positions of a signal source yields more accurate results when compared to 2D MUSIC. Moreover, the neural model significantly outperforms 2D MUSIC in terms of speed of computation.

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Section: Introductionmentioning

confidence: 99%

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Agatonovic¹,

Stankovic²,

Milovanović³

et al. 2013

PIER

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“…X N is full rank if and only if N ≥ max i p i . The temporal smoothing approach can distinguish the signals which have the same DOA but different frequencies, more details can be found in [19].…”

Section: The Frequency Estimation Based On State-spacementioning

confidence: 99%

“…Most high resolution DOA estimation algorithms, such as multiple signal classification (MUSIC)-based and estimation of signal parameters via rotational invariance techniques (ESPRIT)-based algorithms, when used on uniform liner array with omni-direction antenna elements, always have high performances [17][18][19]. But usually, these algorithms cannot be used for conformal antenna array directly because of the varying curvature.…”

Section: Introductionmentioning

confidence: 99%

Fast Estimation of Frequency and 2-D Doas for Cylindrical Conformal Array Antenna Using State-Space and Propagator Method

Si¹,

Wan²,

Liu³

et al. 2013

PIER

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Abstract-The pattern of each element in conformal array has a different direction for the curvature of conformal carrier, which results in polarization diversity of conformal array antenna. Polarization parameters of incident signals are considered in snapshot data model in order to describe the polarization diversity of conformal array antenna. It is required that the polarization parameters and direction of arrival (DOA) of incident signals are estimated together. An integrated frequency and DOA estimation method is proposed in this paper for cylindrical conformal array antenna. The frequency estimation of signal source is obtained by constructing state-space matrix. Through well-designed configuration of elements on cylindrical carriers along with estimation of signal parameters via propagator method (PM), the decoupling scheme for DOA and polarization parameters is implemented. A novel parameter pairing method for frequency and DOA of multiple sources utilizing the interpolation technique is given, based on which the fast frequency-DOA estimation algorithm is developed. Effectiveness of the proposed method is demonstrated by simulation experimental results.

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“…The problem of Direction-Of-Arrival (DOA) estimation has been receiving high attentions as it is a fundamental task in array signal processing with applications in Radar [1], Sonar [2], Communications [3]. The general problem formulation involves a set of signals incident on the array elements with different spatial separations.…”

Section: Introductionmentioning

confidence: 99%

Modified Doa Estimation Methods With Unknown Source Number Based on Projection Pretransformation

Zhou¹,

Gao²,

Wang³

et al. 2012

PIER B

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Abstract-In this paper, our purpose is to develop methods that have high resolution and robustness in the presence of unknown source number, array error, snapshot deficient, and low SNR. The DOA (Direction-Of-Arrival) estimation with unknown source number methods referred as MUSIC-like and SSMUSIC-like methods have shown high resolution in the snapshot deficient and low SNR scenario. However, they need to take several times of fine search on the full space, which bring about high computational complexities. Thus, modified methods are proposed to reduce computational complexities and improve performances further. In the modified methods, we priori use conventional beamforming to get the rough distribution of signals' angle, which helps to reduce computational complexity and connect the technique of projection pretransformation. Then through projection pretransformation, original methods are further simplified and improved. As demonstrated in computer simulations, the modified DOA estimation with unknown source number methods shows not only higher resolution in the snapshot deficient and lower SNR scenario, but also more robustness against array errors. Although the proposed methods cannot replace the array calibration completely, they reduce the requirement of calibration accuracy. Combined with these advantages, it has been shown that the new methods are more suitable in engineering.

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Combined Esprit-Rootmusic for Doa-Dod Estimation in Polarimetric Bistatic Mimo Radar

Cited by 32 publications

References 13 publications

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Fast Estimation of Frequency and 2-D Doas for Cylindrical Conformal Array Antenna Using State-Space and Propagator Method

Modified Doa Estimation Methods With Unknown Source Number Based on Projection Pretransformation

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