Designing OFDM Radar Waveform for Target Detection Using Multi-objective Optimization

Sen, Satyabrata; Tang, Gongguo; Nehorai, Arye

doi:10.1007/978-3-642-37880-5_3

Cited by 5 publications

(3 citation statements)

References 38 publications

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“…However, multipath signals propagated through NLOS paths provide extra spatial information that can be utilized to detect and locate targets. Early studies in constrained multipath scenarios demonstrated the possibility and effectiveness of multipath exploitation where the fixed multipath propagation can be modeled via analytical geometry methods [9][10][11][12]. A typical application is the over-the-horizon radar (OHTR) where EM waves are reflected by ionosphere layers at different heights.…”

Section: Introductionmentioning

confidence: 99%

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

et al. 2023

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The performance of classic radar geometry based on the line-of-sight (LOS) signal transmitted from radar to the target in the free space is affected by multipath echoes in urban areas, where non-line-of-sight (NLOS) signals reflected by obstacles are received by the radar. Based on prior information of the urban situation, this article proposes a novel two-stage localization algorithm with multipath exploitation in a dense clutter environment. In the offline stage, multipath propagation parameters of uniformly distributed samples in the radar field of view are predicted by the ray-tracing technique. In the online stage, a rough location of the target is estimated by the maximum similarity between measurements and the predicted parameters of reference samples at different locations. The similarity is described by the likelihood between measurements and the predicted multipath parameters with respect to all possible associated hypotheses. A gating threshold is derived to exclude less likely hypotheses and reduce the computational burden. The accurate target location is acquired by a non-linear least squares (NLS) optimization of the associated multipath components. Simulation results in various noise conditions show that the proposed method provides robust and accurate target localization results under dense clutter conditions, and the offline pre-calculation of ray-tracing ensures the real-time performance of the proposed localization algorithm. The root mean square error (RMSE) of simulation results shows the advantage of the proposed method over the existing method. The presented results suggest that the proposed method can be applied to NLOS target localization applications in complex environments.

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Section: Introductionmentioning

confidence: 99%

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

et al. 2023

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“…1. This approach could be regarded as the application of orthogonal frequency division multiplexing (OFDM) radar [24]- [26]. Typically, a moving target object is supposedly far away from sensors and thus can be assumed as a point object in the radar tracking problem [20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Non-Intrusive Hand Trajectory Tracking by Utilizing Micro-Doppler Signature Obtained From Wi-Fi Channel State Information

et al. 2020

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Envision a ubiquitously device-free motion sensing, this work focuses on the analysis of Wi-Fi-based hand gesture trajectory tracking by utilizing Doppler frequency obtained from channel state information (CSI). Since a movement of human limb generates variant Micro-Doppler signatures caused by different parts on hand and arm surfaces to the spectrum, the estimation technique is proposed to extract the temporal profile of the hand-only Doppler signature. With a set of Doppler profiles from different pairs of Wi-Fi antenna, hand trajectory can be traced by exploiting the multi-static Doppler radar model. Kalman filter (KF) was applied to mitigate the accumulated noise from the recursive process of trajectory estimation. For the validation of the proposed method, the human limb model was developed to simulate a deterministic movement of hand gesture by exploiting the non-rigid motion of the robotic arm. The electromagnetic wave scattered from the human limb model was computed using physical optics (PO) approximation to simulate time-variant CSI. Through the experiment, hand Doppler signature could be successfully extracted from the spectrum with the error less than 4-Hz at 90 th percentile of CDF. With the extracted profiles, the trajectory of a square and M-shape gesture were successfully traced albeit a moderate trajectory offset of 10-20 degrees. The measurement conducted in the meeting room with commodity Wi-Fi devices installed on laptops also confirmed the tracking capability of the proposal. INDEX TERMS channel state information, micro-Doppler, motion sensing, non-rigid motion, trajectory tracking, Wi-Fi.

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“…In recent years, research results on cognitive radar emerge constantly. The research focuses mainly on the design and selection of optimal transmitting waveform [5,6], optimization algorithm of resource allocation [7,8], automatic operation and management [4,9], and the spectrum sharing with communication and optimal utilization and allocation of channel resources [10,11]. A full understanding of the work environment is a fundamental feature of cognitive radar.…”

Section: Introductionmentioning

confidence: 99%

Research on Cognitive Marine Radar Based on LFM Waveform Control

Liu

Zhang

Suo

et al. 2019

Sensors

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In this paper, the method of applying cognitive radar technology to marine radar is studied, and the cognitive marine radar structure and transmitted signal model with three control parameters are constructed. The selection method of waveform control parameters, which is based on the target spatial distribution and the reference target detection effect with the minimum emission energy as the criterion, is given. The transmission signal control selection method given in this paper can flexibly realize different emission signal groups of m × n × p groups by independently setting the values m, n and p of three control parameters. It does not require radar hardware circuit reconstruction to meet the radar waveform changes. This is more convenient for the technical realization of cognitive marine radar. According to the method of this paper, a cognitive marine radar test system was constructed. The experimental results show that the proposed radar could reduce the emission energy by 15.9 dB compared with the traditional fixed-parameter pulse compression marine radar under the experimental conditions.

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Designing OFDM Radar Waveform for Target Detection Using Multi-objective Optimization

Cited by 5 publications

References 38 publications

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

Analysis of Non-Intrusive Hand Trajectory Tracking by Utilizing Micro-Doppler Signature Obtained From Wi-Fi Channel State Information

Research on Cognitive Marine Radar Based on LFM Waveform Control

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