High resolution coherent source location using transmit/receive arrays

Hoctor, R.T.; Kassam, S.A.

doi:10.1109/83.128033

Cited by 23 publications

(14 citation statements)

References 8 publications

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“…The DOF determine e.g. the achievable point spread function in array imaging [3], the number of resolvable sources in direction-of-arrival (DOA) estimation [4], [5], or the beamforming capabilities of the array [6]. Mutual coupling may also be reduced due to the larger interelement distances in sparse arrays [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Sparse linear nested array for active sensing

Rajamäki

Koivunen

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Sparse sensor arrays can match the performance of fully populated arrays using substantially fewer elements. However, finding the array configuration with the smallest number of elements is generally a computationally difficult problem. Consequently, simple to generate array configurations that may be suboptimal are of high practical interest. This paper presents a novel closed-form sparse linear array configuration designed for active sensing, called the Concatenated Nested Array (CNA). The key parameters of the CNA are derived. The CNA is also compared to the optimal Minimum-Redundancy Array (MRA) in numerical simulations. The CNA is shown to require only about 10% more elements than the MRA in the limit of large apertures.

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Section: Introductionmentioning

confidence: 99%

Sparse linear nested array for active sensing

Rajamäki

Koivunen

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…The ensemble average of la (RT, 8~) ( in (47) is a constant a0 for speckle-generating target distributions. Assuming the denominator in (42) is approximately constant, the condition for the ensemble average of E to be less than zero will be the same as that for the uniform target distribution, that is (54). However, the result for speckle-generating target distributions is a statistic result.…”

Section: Parameters Of F ( R ) Useful For the Comparison F ( T ) Hmentioning

confidence: 99%

Small element array algorithm for correcting phase aberration using near-field signal redundancy. I. Principles

2000

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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A near-field, signal-redundancy algorithm for measuring phase-aberration profiles has been proposed previously. It is designed for arrays with a relatively large element size for which relatively narrow beams are transmitted and received. The algorithm measures the aberration profile by cross-correlating signals collected with the same midpoint position between transmitter and receiver, termed common midpoint signals, after a dynamic near-field delay correction. In this paper, a near-field signal-redundancy algorithm for small element arrays is proposed. In this algorithm, subarrays are formed of adjacent groups of elements to narrow the beams used to collect common midpoint signals and steer the beam direction, so that angle-dependent, phase-aberration profiles can be measured. There are several methods that could be used to implement the dynamic near-field delay correction on common midpoint signals collected with subarrays. In this paper, the similarity between common midpoint signals collected with these methods is also analyzed and compared using a so-called corresponding-signal concept. This analysis should be valid for general target distributions in the near field and wide-band signals.

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“…The co-array is a virtual structure arising from the sums or differences of physical element pairs. It determines, for example, the number of sources an array can resolve [2]- [6], or the achievable point spread function (PSF) in array imaging [7]. Many applications, such as radar and medical ultrasound, can take advantage of the co-array in order to achieve a desired PSF using fewer sensors.…”

Section: Introductionmentioning

confidence: 99%

Sparse Active Rectangular Array With Few Closely Spaced Elements

Rajamäki

Koivunen

2018

IEEE Signal Process. Lett.

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Sparse sensor arrays offer a cost effective alternative to uniform arrays. By utilizing the co-array, a sparse array can match the performance of a filled array, despite having significantly fewer sensors. However, even sparse arrays can have many closely spaced elements, which may deteriorate the array performance in the presence of mutual coupling. This paper proposes a novel sparse planar array configuration with few unit inter-element spacings. This Concentric Rectangular Array (CRA) is designed for active sensing tasks, such as microwave or ultra-sound imaging, in which the same elements are used for both transmission and reception. The properties of the CRA are compared to two well-known sparse geometries: the Boundary Array and the Minimum-Redundancy Array (MRA). Numerical searches reveal that the CRA is the MRA with the fewest unit element displacements for certain array dimensions.

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High resolution coherent source location using transmit/receive arrays

Cited by 23 publications

References 8 publications

Sparse linear nested array for active sensing

Sparse linear nested array for active sensing

Small element array algorithm for correcting phase aberration using near-field signal redundancy. I. Principles

Sparse Active Rectangular Array With Few Closely Spaced Elements

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