Radar and Radio Signal Processing

Ball, John; Younan, Nicolas H.

doi:10.3390/electronics6030064

Cited by 4 publications

(9 citation statements)

References 8 publications

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“…The two subarrays coincide at the origin, so the total number of sensors is = 2 1 + 2 2 − 1. Suppose that there are narrowband far-field independent signals impinging on the array with the power { 2 1 , 2 2 , . .…”

Section: Signal Modelmentioning

confidence: 99%

“…2D-MUSIC, PSS and the proposed algorithms are all common values finding method to resolve the DOAs, where the DOFs of those algorithms are limited by the number of subarray sensors. The DOFs of 2D-MUSIC, PSS, and proposed algorithm using Unitary-ESPRIT are equal as 2 1 − 1. When the signals are noncircular, because NC-Unitary-ESPRIT can "double" the sensors, the DOF of this method is 2 2 1 − 1.…”

Section: Analysis Of Dofmentioning

confidence: 99%

“…The DOFs of 2D-MUSIC, PSS, and proposed algorithm using Unitary-ESPRIT are equal as 2 1 − 1. When the signals are noncircular, because NC-Unitary-ESPRIT can "double" the sensors, the DOF of this method is 2 2 1 − 1. The detailed values are presented in Figure 4.…”

Section: Analysis Of Dofmentioning

confidence: 99%

“…Direction-of-arrival (DOA) estimation of multiple narrowband signals is a fundamental task in many applications such as radar [2], underwater acoustics [3,4], indoor navigation [5,6], and wireless communication [7]. The uniform rectangular arrays (URAs) [8] using subspace algorithms can obtain highresolution two-dimensional (2D) DOA estimations.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fast Two-Dimensional Direction-of-Arrival Estimation of Multiple Signals in Coprime Planar Array

Xu¹,

Zhang²,

Ba³

et al. 2019

Journal of Sensors

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Two-dimensional direction-of-arrival (DOA) estimation in coprime planar array involves problems that the complexity of spectral peak search is huge and the noncircular feature of signals is not considered. Considering that unitary estimating signal parameters via rotational invariance techniques (Unitary-ESPRIT) is a low complexity subspace algorithm, an approach to estimate DOA fast for multiple signals is proposed in this paper. We first apply Unitary-ESPRIT to solve one possible value of each signal. Given the relationship between the ambiguous values and real values, we then have all possible values belonging to each subarray. Through finding the common values of two subarrays, we finally obtain the highly precise true DOAs. Moreover, when the signals are noncircular, we present an improved method using noncircular Unitary-ESPRIT, which is favorable in terms of accuracy and degree of freedom. Simulation results demonstrate the effectiveness of our proposed methods.

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Section: Signal Modelmentioning

confidence: 99%

Section: Analysis Of Dofmentioning

confidence: 99%

Section: Analysis Of Dofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fast Two-Dimensional Direction-of-Arrival Estimation of Multiple Signals in Coprime Planar Array

Xu¹,

Zhang²,

Ba³

et al. 2019

Journal of Sensors

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show abstract

“…Direction-of-arrival (DOA) estimation for multiple uncorrelated signals is a fundamental task in many applications such as radar [1], underwater acoustics [2], [3], indoor navigation, and wireless communication [4]. In most researches, the uniform non-sparse arrays, such as uniform linear array and uniform rectangular array (URAs) [5], with subspace algorithms can obtain high-resolution DOA estimations.…”

Section: Introductionmentioning

confidence: 99%

Direction-of-Arrival Estimation for Both Uncorrelated and Coherent Signals in Coprime Array

Wang

et al. 2019

IEEE Access

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Direction-of-arrival (DOA) estimation in coprime array involves the problem that there is the coexistence of both uncorrelated signals and coherent signals in the multipath environment. An approach to estimate DOA of uncorrelated and coherent signals separately, based on the coprime linear array and coprime planar array, is proposed in this paper. The uncorrelated signals are estimated first, where the root multiple signal classification (root-MUSIC) is applied in the coprime linear array and unitary estimating signal parameters via rotational invariance techniques (Unitary-ESPRIT) is utilized in the coprime planar array. Those subspace algorithms are of low complexity compared with the spectral peak search method. We then eliminate the components of noises and uncorrelated signals and reconstruct a covariance matrix of coherent signals. Finally, we use the root-MUSIC or Unitary-ESPRIT to resolve the one-dimensional or two-dimensional DOAs of coherent signals, respectively. The simulation results demonstrate the computational efficiency and high accuracy of the proposed algorithm. The results also prove that this algorithm can estimate the number of signals more than that of subarray sensors and separate two signals from the same angle. INDEX TERMS Direction-of-arrival, coprime linear array, coprime planar array, coherent signals.

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Estimating DOA and PPS parameters of signal received by ULA in heavy noise environment

Djurović

Simeunović

2020

Journal of Electrical Engineering

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Estimation of the direction-of-arrival (DOA) and parameters of polynomial phase signal (PPS) impinging on the uniform linear array (ULA) of sensors in heavy-tailed noise environments is considered in this paper. To estimate signal parameters, a recently proposed quasi maximum-likelihood (QML) estimator is adopted. The proposed algorithm consists of two successive steps: (1) noise influence mitigation by using the proposed normalization strategy and (2) signal parameters estimation using the DOA-QML approach. The algorithm performance is evaluated for both monocomponent and multicomponent signals.

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Radar and Radio Signal Processing

Abstract: Radar is a technology used in many aspects of modern life, with many diverse civilian and military applications.[...]

Cited by 4 publications

References 8 publications

Fast Two-Dimensional Direction-of-Arrival Estimation of Multiple Signals in Coprime Planar Array

Fast Two-Dimensional Direction-of-Arrival Estimation of Multiple Signals in Coprime Planar Array

Direction-of-Arrival Estimation for Both Uncorrelated and Coherent Signals in Coprime Array

Estimating DOA and PPS parameters of signal received by ULA in heavy noise environment

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