$\text {A}^\text {2}\text {RC}$: An Accurate Array Response Control Algorithm for Pattern Synthesis

Zhang, Xintong; He, Zishu; Liao, Bin; Zhang, Xuepan; Cheng, Ziyang; Lu, Yue

doi:10.1109/tsp.2017.2649487

Cited by 70 publications

(33 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, to generate a less pattern distortion, the optimal µ k, is experimentally selected in [28] as µ k, = µ k,s arg min…”

Section: B a 2 Rc Algorithmmentioning

confidence: 99%

“…The above procedure is carried out successively once a satisfactory array pattern has been obtained. As for how to select the angle to be controlled in every step, we follow the strategy in [28] and [29]. More specifically, for sidelobe synthesis, we select a peak angle where the response difference (from the desired level) is relatively large.…”

Section: Connection Between C 2 -Word and A 2 Rcmentioning

confidence: 99%

“…In this example, we illustrate the performance of C 2 -WORD on array response control and show its advantage over A 2 RC and WORD. More specifically, a 21-element nonisotropic linear random array (see e.g., [5], [11], [28]) is considered. The pattern of the nth element is given by g n (θ) = [cos (πl n sin(θ + ζ n )) − cos(πl n )] /cos(θ + ζ n ) (34) where ζ n and l n represent the orientation and length of the element, respectively.…”

Section: A Response Control Of a Nonisotropic Linear Random Arraymentioning

confidence: 99%

“…More recently, we devised several flexible pattern synthesis approaches with array response control scheme. Starting from an arbitrarily-specified weight vector, the accurate array response control (A 2 RC) algorithm [28] synthesizes a desirable beampattern by iteratively controlling the response of a single angle. However, as reported in [29], the parameter determination of A 2 RC is imperfect and the resulting beampatterns may be distorted.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Robust Sidelobe Control via Complex-Coefficient Weight Vector Orthogonal Decomposition

Zhang

et al. 2019

IEEE Trans. Antennas Propagat.

Self Cite

View full text Add to dashboard Cite

This paper presents a new array response control scheme named complex-coefficient weight vector orthogonal decomposition (C 2 -WORD) and its application to pattern synthesis. The proposed C 2 -WORD algorithm is a modified version of the existing WORD approach. We extend WORD by allowing a complex-valued combining coefficient in C 2 -WORD, and find the optimal combining coefficient by maximizing white noise gain (WNG). Our algorithm offers a closed-from expression to precisely control the array response level of a given point starting from an arbitrarily-specified weight vector. In addition, it results less pattern variations on the uncontrolled angles. Elaborate analysis shows that the proposed C 2 -WORD scheme performs at least as good as the state-of-the-art A 2 RC or WORD approach. By applying C 2 -WORD successively, we present a flexible and effective approach to pattern synthesis. Numerical examples are provided to demonstrate the flexibility and effectiveness of C 2 -WORD in array response control as well as pattern synthesis.Index Terms-Array pattern synthesis, array response control, white noise gain, array signal processing.

show abstract

“…In addition, to generate a less pattern distortion, the optimal µ k, is experimentally selected in [28] as µ k, = µ k,s arg min…”

Section: B a 2 Rc Algorithmmentioning

confidence: 99%

Section: Connection Between C 2 -Word and A 2 Rcmentioning

confidence: 99%

Section: A Response Control Of a Nonisotropic Linear Random Arraymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Sidelobe Control via Complex-Coefficient Weight Vector Orthogonal Decomposition

Zhang

et al. 2019

IEEE Trans. Antennas Propagat.

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is worth noting that in general the aforementioned methods have to redesign the weight vector even if only a slight adjustment of the array power response is required. To this end, some accurate array response control approaches have been developed recently [14]- [16]. However, these methods design both the amplitude and phase of the weight vector.…”

Section: Introductionmentioning

confidence: 99%

A Fast Method for Array Response Adjustment with Phase-Only Constraint

Zhang

Liao

et al. 2019

2019 IEEE Radar Conference (RadarConf)

Self Cite

View full text Add to dashboard Cite

In this paper, we propose a fast method for array response adjustment with phase-only constraint. This method can precisely and rapidly adjust the array response of a given point by only varying the entry phases of a pre-assigned weight vector. We show that phase-only array response adjustment can be formulated as a polygon construction problem, which can be solved by edge rotation in complex plain. Unlike the existing approaches, the proposed algorithm provides an analytical solution and guarantees a precise phase-only adjustment without pattern distortion. Moreover, the proposed method is suitable for an arbitrarily given weight vector and has a low computational complexity. Representative examples are presented to demonstrate the effectiveness of the proposed algorithm.

show abstract

Adaptive Beamforming via Desired Signal Robust Removal for Interference-Plus-Noise Covariance Matrix Reconstruction

Zhang¹,

Yang

Jing³

et al. 2020

Circuits Syst Signal Process

View full text Add to dashboard Cite

$\text {A}^\text {2}\text {RC}$: An Accurate Array Response Control Algorithm for Pattern Synthesis

Cited by 70 publications

References 19 publications

Robust Sidelobe Control via Complex-Coefficient Weight Vector Orthogonal Decomposition

Robust Sidelobe Control via Complex-Coefficient Weight Vector Orthogonal Decomposition

A Fast Method for Array Response Adjustment with Phase-Only Constraint

Adaptive Beamforming via Desired Signal Robust Removal for Interference-Plus-Noise Covariance Matrix Reconstruction

Contact Info

Product

Resources

About