Results 71 to 80 of about 517 (176)

LPI Sequences Optimization Method against Summation Detector Based on FFT Filter Bank

open access: yesRemote Sensing
Waveform design is a crucial factor in electronic surveillance (ES) systems. In this paper, we introduce an algorithm that designs a low probability of intercept (LPI) radar waveform. Our approach directly minimizes the detection probability of summation
Qiang Liu   +4 more
doaj   +1 more source

Robust LPI Radar Signal Recognition via SNR‐Guided Generative Restoration and Active Recurrent Glance‐and‐Focus

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address the challenge of low probability of intercept (LPI) radar signal recognition under low SNR conditions, this paper proposes a unified framework integrating SNR‐guided generative restoration with an active recurrent glance‐and‐focus classification strategy. By leveraging an RA‐UnetJiT restoration network and a deep reinforcement learning agent,
Yu Cheng   +4 more
wiley   +1 more source

LPI Radar with Lüke-Schotten Codes [PDF]

open access: yes, 2022
S.163 ...
Krämer, G.
core  

A Synchronization Approach Based on Bidirectional Correlation Search for Aperiodic Chaotic Direct Sequence Spread Spectrum Signals

open access: yesIEEE Access, 2020
The chaotic direct sequence spread spectrum (CD3S) is one of the distinguished techniques providing physical layer secrecy and low probability of intercept (LPI) in wireless communication.
Guogang Yuan   +4 more
doaj   +1 more source

Single‐Channel Multi‐Component Linear Frequency Modulation Signal Blind Separation Based on Multi‐Feature Enhanced Swin‐Transformer

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address the underdetermined blind source separation problem of single‐channel multi‐component linear frequency modulation (LFM) signals, the separation task is reformulated as a semantic segmentation problem on time‐frequency spectrograms. A multi‐feature enhanced Swin‐Transformer network, integrating an optimised convolutional block attention ...
Weifeng Sun   +4 more
wiley   +1 more source

Quantifying the differences in low probability of intercept radar waveforms using quadrature mirror filtering [PDF]

open access: yes, 2002
Low Probability of Intercept (LPI) radars are a class of radar systems that possess certain performance characteristics causing them to be nearly undetectable by most modern digital intercept receivers.
Jarpa, Pedro F.
core  

Research on Amplitude Characteristics of FDA‐AWACS and Direction Finding Mechanism of Anti‐Beam Search Method

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper addresses the poor survivability of AWACS against passive positioning in electromagnetic countermeasures by investigating the amplitude–frequency response and antibeam search direction‐finding deception mechanism of FDA‐based AWACS, with the goal of offering theoretical support and technical solutions for antipassive direction finding.
Jing Zhang, Bo Wang, Haowei Zhang
wiley   +1 more source

Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System [PDF]

open access: yes, 2020
This paper investigates the problem of low probability of intercept-based optimal power allocation (LPI-OPA) for an integrated multistatic radar and communication system, which consists of multiple transmitters operating at different frequencies, a radar
Zhou, Jianjiang   +5 more
core   +1 more source

Intra-pulse Modulation Recognition of LPI Radar Signals Based on Improved MobileNet [PDF]

open access: yesRadioengineering
Addressing the challenge of feature extraction for Low Probability of Intercept (LPI) radar signals under low signal-to-noise ratio conditions, this study introduces a new method for intra-pulse modulation recognition of LPI radar signals based on an ...
J. Wu   +5 more
doaj  

Low‐Probability‐Of‐Intercept Point Beam Design for Frequency Diverse Array‐Multiple‐Input Multiple‐Output Radio Detectors Based on Adaptive Weight‐Deep Deterministic Policy Gradient Reinforcement Learning

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This study focuses on the design of low‐probability‐of‐intercept (LPI) point beams for the radio detector. We construct a new evaluation model to verify the spatial LPI performance. Frequency diverse array‐multiple‐input multiple‐output (FDA‐MIMO) beams are employed and key factors influencing beam convergence are determined.
Jinwei Jia   +4 more
wiley   +1 more source

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