Improved Moving-Target-Indicator Filtering for Phased Array Radars

Fletcher, Robert H.; Burlage, D. W.

doi:10.21236/ad0759901

Cited by 5 publications

(5 citation statements)

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“…the first demodulated chirp is not filtered and, entering the feedback of the filter, can negatively affect the transient response, inducing ringing effects on the range-Doppler maps [50], [53]. To mitigate this drawback, a step initialization technique [49] is used. Specifically, the state variable of the filter is initialized to 1 Q !…”

Section: A Clutter and Leakage Removalmentioning

confidence: 99%

“…In particular, a novel ad-hoc processing chain able to perform the detection and classification of multiple non-cooperative targets in a cluttered environment has been specifically developed. Firstly, the stretch-processed radar frames are fed into a clutter and leakage removal IIR filter [30], which has been endowed with step-initialization [49] to enhance its transient response and remove potential ringing artifacts. This approach allows to obtain cleaner range-Doppler maps, improving the post-processing performance with respect to the simpler and commonly used background subtraction or single delay-line filter [50].…”

Section: Introductionmentioning

confidence: 99%

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A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection

Tavanti

Rizik

Fedeli

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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In the present paper, a new microwave-radar-based technique for short-range detection and classification of multiple human and vehicle targets crossing a monitored area is proposed. This approach, which can find applications in both security and infrastructure surveillance, relies upon the processing of the scattered-field data acquired by low-cost off-the-shelf components, i.e., a 24 GHz Frequency Modulated Continuous Wave radar module and a Raspberry Pi mini-PC. The developed method is based on an ad-hoc processing chain to accomplish the automatic target recognition task, which consists of blocks performing clutter and leakage removal with an IIR filter, clustering with a DBSCAN approach, tracking using a Benedict-Bordner α-β filter, features extraction, and finally classification of targets by means of a -Nearest Neighbor algorithm. The approach is validated in real experimental scenarios, showing its capabilities in correctly detecting multiple targets belonging to different classes (i.e., pedestrians, cars, motorcycles, and trucks).

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Section: A Clutter and Leakage Removalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection

Tavanti

Rizik

Fedeli

et al. 2022

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Likewise, collocation-based analyses of learner corpora have proven to be rich sources of hypotheses about language learning and processing that can be further explored using other experimental techniques (see Durrant & Siyanova-Chanturia, 2015; Gilquin & Gries 2009). Tools such as #LancsBox (described earlier) have proved to be very efficient in analyzing and visualizing associations between words in corpora, and packages such as AntGram (Anthony, 2018) and kfNgram (Fletcher, 2012) have been developed specifically to allow the exploration of multiword sequences. SLA research thus could benefit from the principled approach corpus linguistics offers: both (a) to identify and visualize collocations and (b) to investigate the role of collocational knowledge in first and additional language (L1 and L2) learning.…”

Section: The Future: Opportunities and Challengesmentioning

confidence: 99%

Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use

McEnery

Březina

Gablasová

et al. 2019

Ann Rev Appl Linguist

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In this article we explore the relationship between learner corpus and second language acquisition research. We begin by considering the origins of learner corpus research, noting its roots in smaller scale studies of learner language. This development of learner corpus studies is considered in the broader context of the development of corpus linguistics. We then consider the aspirations that learner corpus researchers have had to engage with second language acquisition research and explore why, to date, the interaction between the two fields has been minimal. By exploring some of the corpus building practices of learner corpus research, and the theoretical goals of second language acquisition studies, we identify reasons for this lack of interaction and make proposals for how this situation could be fruitfully addressed.

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“…This study demonstrated that email to adults from rural counties containing short updates of new content on a nutrition website increased usage of that website [ 13 ]. Outside of medicine, marketing research and business literature have long noted the ability of targeted and personalized email to increase traffic to websites, increase sales and revenue, and create an interactive relationship with the recipient [ 14 - 16 ]. In information science, the concept of known items and known-item searching has been explored since the early 1980s.…”

Section: Introductionmentioning

confidence: 99%

Do Family Physicians Retrieve Synopses of Clinical Research Previously Read as Email Alerts?

Grad¹,

Pluye²,

Johnson‐Lafleur³

et al. 2011

J Med Internet Res

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BackgroundA synopsis of new clinical research highlights important aspects of one study in a brief structured format. When delivered as email alerts, synopses enable clinicians to become aware of new developments relevant for practice. Once read, a synopsis can become a known item of clinical information. In time-pressured situations, remembering a known item may facilitate information retrieval by the clinician. However, exactly how synopses first delivered as email alerts influence retrieval at some later time is not known.ObjectivesWe examined searches for clinical information in which a synopsis previously read as an email alert was retrieved (defined as a dyad). Our study objectives were to (1) examine whether family physicians retrieved synopses they previously read as email alerts and then to (2) explore whether family physicians purposefully retrieved these synopses. MethodsWe conducted a mixed-methods study in which a qualitative multiple case study explored the retrieval of email alerts within a prospective longitudinal cohort of practicing family physicians. Reading of research-based synopses was tracked in two contexts: (1) push, meaning to read on email and (2) pull, meaning to read after retrieval from one electronic knowledge resource. Dyads, defined as synopses first read as email alerts and subsequently retrieved in a search of a knowledge resource, were prospectively identified. Participants were interviewed about all of their dyads. Outcomes were the total number of dyads and their type. ResultsOver a period of 341 days, 194 unique synopses delivered to 41 participants resulted in 4937 synopsis readings. In all, 1205 synopses were retrieved over an average of 320 days. Of the 1205 retrieved synopses, 21 (1.7%) were dyads made by 17 family physicians. Of the 1205 retrieved synopses, 6 (0.5%) were known item type dyads. However, dyads also occurred serendipitously.ConclusionIn the single knowledge resource we studied, email alerts containing research-based synopses were rarely retrieved. Our findings help us to better understand the effect of push on pull and to improve the integration of research-based information within electronic resources for clinicians.

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Improved Moving-Target-Indicator Filtering for Phased Array Radars

Cited by 5 publications

References 0 publications

A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection

A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection

Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use

Do Family Physicians Retrieve Synopses of Clinical Research Previously Read as Email Alerts?

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