Systems Aspects of Digital Beam Forming Ubiquitous Radar

Skolnik, Merrill I.

doi:10.21236/ada403877

Cited by 29 publications

(12 citation statements)

References 27 publications

(21 reference statements)

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“…While many applications satisfy these requirements, in what follows, we discuss an example in Short Range Ubiquitous Radar [20] (SRUR) signal processing.…”

Section: Rsft For Ubiquitous Radar Signal Processingmentioning

confidence: 99%

A practical high-dimensional Sparse Fourier Transform

Wang

Patel

Petropulu

2017

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We propose RSFT, which is an extension of the one dimensional Sparse Fourier Transform algorithm to higher dimensions in a way that it can be applied to real, noisy data. The RSFT allows for off-grid frequencies. Furthermore, by incorporating Neyman-Pearson detection, the frequency detection stages in RSFT do not require knowledge of the exact sparsity of the signal and are more robust to noise. We analyze the asymptotic performance of RSFT, and study the computational complexity versus the worst case signal SNR tradeoff. We show that by choosing the proper parameters, the optimal tradeoff can be achieved. We discuss the application of RSFT on short range ubiquitous radar signal processing, and demonstrate its feasibility via simulations. Index TermsArray signal processing, sparse Fourier transform, detection and estimation, radar signal processing.

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“…While many applications satisfy these requirements, in what follows, we discuss an example in Short Range Ubiquitous Radar [20] (SRUR) signal processing.…”

Section: Rsft For Ubiquitous Radar Signal Processingmentioning

confidence: 99%

A practical high-dimensional Sparse Fourier Transform

Wang

Patel

Petropulu

2017

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Holographic staring radar (also known as full time-space radar, ubiquitous radar) is an effective means to realize the detection and recognition of LSS targets [5]. It originated from the concept of ubiquitous radar [6] proposed by professor Skolnik, a famous British radar expert, around 2000. The core idea is to adopt a digitized array for receiving and transmitting, a wide beam for transmitting, and a digital multi-beam for receiving to cover the transmitting area, so as to realize continuous detection of time domain and airspace for the whole observed airspace [7].…”

Section: Introductionmentioning

confidence: 99%

A Complete Automatic Target Recognition System of Low Altitude, Small RCS and Slow Speed (LSS) Targets Based on Multi-Dimensional Feature Fusion

Chen

et al. 2019

Sensors

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Low altitude, small radar cross-section (RCS), and slow speed (LSS) targets, for example small unmanned aerial vehicles (UAVs), have become increasingly significant. In this paper, we propose a new automatic target recognition (ATR) system and a complete ATR chain based on multi-dimensional features and multi-layer classifier system using L-band holographic staring radar. We consider all steps of the processing required to make a classification decision out of the raw radar data, mainly including preprocessing for the raw measured Doppler data including regularization and main frequency alignment, selection, and extraction of effective features in three dimensions of RCS, micro-Doppler, and motion, and multi-layer classifier system design. We design creatively a multi-layer classifier system based on directed acyclic graph. Helicopters, small fixed-wing, and rotary-wing UAVs, as well as birds are considered for classification, and the measured data collected by L-band radar demonstrates the effectiveness of the proposed complete ATR classification system. The results show that the ATR classification system based on multi-dimensional features and k-nearest neighbors (KNN) classifier is the best, compared with support vector machine (SVM) and back propagation (BP) neural networks, providing the capability of correct classification with a probability of around 97.62%.

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“…This increases system update rate and improves tracking and imaging performance. In addition, staring array also provide a longer observation time required for Non-Cooperative Target Recognition (NCTR) without affecting other functions, and they are considered a "Lower" Probability of Intercept (LPI) radar due to the low gain transmit antenna [4].…”

Section: Introductionmentioning

confidence: 99%

Investigating jammer suppression with a 3-D staring array

Liu¹,

Balleri

Jahangir

et al. 2017

International Conference on Radar Systems (Radar 2017)

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A 3-D staring radar operates by using a wide beam transmitter to illuminate the entire surveillance region and generates multiple receive beams using a 2-D static array that can be digitised at element level. The sensor achieves permanent search in all directions and harnesses the spatial, temporal and spectral domains to improve detection and discrimination of low observable, highly manoeuvrable targets in congested air space against strong non-stationary clutter. While the susceptibility of traditional scanning radars to jammers has been well researched, very little work has been carried out to assess the performance of 3-D staring radars in the presence of an interference source. In this paper, the response of a staring array radar to a jammer is modelled. Results are presented showing that by exploiting the persistent dwell time of the staring array, it is possible to achieve effective jammer suppression using null steering or similar techniques.

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Systems Aspects of Digital Beam Forming Ubiquitous Radar

Cited by 29 publications

References 27 publications

A practical high-dimensional Sparse Fourier Transform

A practical high-dimensional Sparse Fourier Transform

A Complete Automatic Target Recognition System of Low Altitude, Small RCS and Slow Speed (LSS) Targets Based on Multi-Dimensional Feature Fusion

Investigating jammer suppression with a 3-D staring array

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