Array failure correction with a digitally beamformed array

Mailloux, Robert J.

doi:10.1109/8.546240

Cited by 104 publications

(36 citation statements)

References 5 publications

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“…24,25, 26 The complete failure of a sufficient number of antenna elements can seriously degrade the performance of a lowsidelobe antenna. It has been said that it is possible to compensate for the loss of elements in a digital beam-forming receive array by using simple linear operations with the outputs of a small group of good elements within the array.…”

Section: Adaptive Nullingmentioning

confidence: 99%

Systems Aspects of Digital Beam Forming Ubiquitous Radar

Skolnik¹

2002

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Approved for public release; distribution is unlimited.LUULU 1 ■ v m 1 U y REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information it it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)Naval Research Laboratory 4555 Overlook Avenue Washington, DC 20375-5320 SPONSOR / MONITOR'S ACRONYM(S) SPONSOR / MONITOR'S REPORT NUMBER(S) DISTRIBUTION /AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTES ABSTRACTThis paper describes the general characteristics and potential capabilities of digital beam forming (DBF) ubiquitous radar, one that looks everywhere all the time. In a ubiquitous radar, the receiving antenna consists of a number of fixed contiguous high-gain beams that cover the same region as a fixed low-gain (quasi-omnidirectional) transmitting antenna. The ubiquitous radar is quite different from the mechanically rotatingantenna radar or the conventional multifunction phased-array radar in that it can carry out multiple functions simultaneously rather than sequentially. Thus it has the important advantage that its various functions do not have to be performed in sequence one at a time, something that is a serious limitation of conventional phased arrays. A radar that looks everywhere all the time uses long integration times with many pulses, which allows better shaping of Doppler filters for better MTI or pulse Doppler processing. The DBF ubiquitous radar is a new method for achieving important radar capabilities not readily available with current radar architectures. (See page v for the complete abstract.) SUBJECT TERMS AbstractThis paper describes the general characteristics and potential capabilities of digital beam forming (DBF) ubiquitous radar, one that looks everywhere all the time. In a ubiquitous radar, the receiving antenna consists of a number of fixed contiguous high-gain beams that cover the same region as a fixed lowgain (quasi-omnidirectional) transmitting antenna. The ubiquitous radar is quite different from the mechanically rotating-antenna radar or the conventional multifunction phased array radar in that it can carry out multip...

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Section: Adaptive Nullingmentioning

confidence: 99%

Systems Aspects of Digital Beam Forming Ubiquitous Radar

Skolnik¹

2002

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“…Signal reconstruction approach is that the output signals of some defective elements are reconstructed by output signals of the adjacent functional elements. Maillous employed an iterative reconstruction method based on the constant time delay between multiple array elements [4], and Levitas et al developed a practical auto-compensation technique for element failure in active phased array [5]. One of the limitations of the first approach is that it must distinguish multiple arrival signal sources, and it becomes even more complicated for planar array.…”

Section: Introductionmentioning

confidence: 99%

Space-Borne Hexagonal Array Element Failure Correction Using Iterative Convex Optimiztion

Song¹,

Li²,

Gong³

et al. 2014

PIER Letters

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Abstract-Element failure distorts the main-lobe pattern and increases side-lobe power level, which is almost impossible to be corrected artificially for space-borne array. It might be solved by redistributing the excitations of the left functional elements; however, this is a nonlinear, non-convex, and NP-hard problem. In this paper, two effective approaches are proposed for failure correction, which is performed for space-borne hexagonal array using digital beamforming (DBF). One method, a modified real-code genetic algorithm (RCGA), is employed that uses reinsertion and worst-elimination schemes, but it pays the high computation complexity. The other approach based on convex optimization chooses the excitations synthesized by RCGA as the initial points, and transforms the non-convex problem into a sequence of second-order cone programming (SOCP) problem, which can be solved iteratively by efficient optimization tool. Numerical results confirm that after the correction based on iterative convex optimization, the average root-mean-square error (RMSE) is reduced by 36%, and the relative side-lobe level (RSLL) is decreased by 6.7 dB, with respect to the RCGA-based correction pattern.

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“…Researches in the past have clearly depicted various ways of recovery [2][3][4]. A simple way to recover the radiation pattern is to manually replace the failed antenna elements, which is not quite a better solution when the deformation occurs in applications like satellites, radar, and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…Mailloux [2] utilized the idea of replacing the signals in a digitally beam formed array in a multiple Signal environment without laying any restrictions on correlation properties of signals. A method [3] based on evolutionary algorithm, namely, genetic algorithm [3][4][5], has been utilized for failure correction by considering the beam weights as an array of complex vector numbers.…”

Section: Introductionmentioning

confidence: 99%

QPSO versus BSA for Failure Correction of Linear Array of Mutually Coupled Parallel Dipole Antennas with Fixed Side Lobe Level and VSWR

Muralidharan

Vallavaraj

Mahanti

et al. 2014

Advances in Electrical Engineering

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Evolutionary algorithms play an important role in synthesizing linear array antenna. In this paper, the authors have compared quantum particle swarm optimization (QPSO) and backtracking search algorithms (BSA) in failure correction of linear antenna arrays constructed using half wavelength uniformly spaced dipoles. The QPSO algorithm is a combination of classical PSO and quantum mechanics principles to enhance the performance of PSO and BSA is considered as a modernized PSO using historical populations. These two algorithms are applied to obtain the voltage excitations of the nondefective elements in the failed antenna array such that the necessary objectives, namely, the minimization of parameters like side lobe level (SLL) and voltage standing wave ratio (VSWR), are achieved leading to their values matching closely the desired parameter values. The results of both algorithms are compared in terms of parameters used in the objective function along their statistical parameters. Moreover, in order to reduce the processing time, inverse fast Fourier transform (IFFT) is used to obtain the array factor. In this paper, an example is presented for the application of the above two algorithms for a linear array of 30 parallel half wavelength dipole antennas failed with 4 elements and they clearly show the effectiveness of both the QPSO and BSA algorithms in terms of optimized parameters, statistical values, and processing time.

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Array failure correction with a digitally beamformed array

Cited by 104 publications

References 5 publications

Systems Aspects of Digital Beam Forming Ubiquitous Radar

Systems Aspects of Digital Beam Forming Ubiquitous Radar

Space-Borne Hexagonal Array Element Failure Correction Using Iterative Convex Optimiztion

QPSO versus BSA for Failure Correction of Linear Array of Mutually Coupled Parallel Dipole Antennas with Fixed Side Lobe Level and VSWR

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