Evidence map›Paper›PMID 32272687›Full record

ArticleSensors (Basel, Switzerland)2020

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR.

Xinhai Wang, Gong Zhang, Xiangmin Wang, Qingqing Song, Fangqing Wen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xinhai WangNanjing Marine Radar Institute, Nanjing 211153, China.
Gong ZhangKey Lab of Radar Imaging and Microware Photonics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Xiangmin WangNanjing Marine Radar Institute, Nanjing 211153, China.
Qingqing SongNanjing Marine Radar Institute, Nanjing 211153, China.
Fangqing WenNational Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China.

Funding

National Natural Science Foundation of China 61871218, 61801211
6 · The paper itself

Abstract

In this paper, a type of effective electronic counter-countermeasures (ECCM) technique for suppressing the high-power deception jamming using an orthogonal frequency division multiplexing (OFDM) radar is proposed. Concerning the velocity deception jamming, the initial phases of the pulses transmitted in a coherent processing interval (CPI) are designed to minimize the jamming power within a specific range, forming a notch around the jamming in the Doppler spectrum. For the purpose of suppressing the range deception jamming and the joint range-velocity deception jamming, the phase codes of the subcarriers belonging to the OFDM pulses are optimized to minimize the jamming power, distributing some specific bands in the range and the range-velocity domain, respectively. According to Parseval's theorem, the phase encoding, acting as the coding manner of the OFDM subcarriers can ensure that the energy of each OFDM symbol stays the same. It is worth noticing that the phase codes of the OFDM subcarriers can influence the peak-to-average power ratio (PAPR). Thus, an optimization problem is formulated to optimize the phase codes of the subcarriers under the constraint of global PAPR, which can regulate the PAPRs of multiple OFDM symbols at the same time. The proposed problem is non-convex; therefore, it is a huge challenge to tackle. Then we present a method named by the phase-only alternating direction method multipliers (POADMM) to solve the aforementioned optimization problem. Some necessary simulation results are provided to demonstrate the effectiveness of the proposed radar signaling strategy.

Indexed as

alternating direction method multipliers (ADMM)electronic counter-countermeasures (ECCM), deception jammingglobal peak-to-average power ratioorthogonal frequency division multiplexing (OFDM) radar

Identifiers

PMID32272687
PMCPMC7181218

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.