A long-time coherent integration could effectively improve the detection ability of radar for maneuvering targets. Nevertheless, Doppler ambiguity and frequency migration caused by high speed acceleration severely degrade performance. In this regard, a novel algorithm is proposed, particularly targets with ambiguity. Specifically, firstly estimated scaled non-uniform fast Fourier transform (SNuFFT). Then, periodic discrete (SPDFT), which periodically extends observable scope (DFT), proposed...

In recent years, target detection has drawn increasing attention in the field of radar signal processing. this paper, we address problem coherent integration for detecting high-speed maneuvering targets, involving range migration (RM), quadratic RM (QRM), and Doppler frequency (DFM) within processing interval. We propose a novel algorithm based on frequency-domain second-order phase difference (FD-SoPD) approach. First, use FD-SoPD operation to reduce from three two dimensions simultaneously...

The nonlinearity in the transmitted signal of Frequency-modulated continuous-wave (FMCW) radar has become a bottleneck to its utilization. This paper presents new method conduct correction for wideband FMCW radars. is first modeled as polynomial phase function, whose coefficients are then estimated with proposed regression algorithm (PRA). Combined Match Fourier Transform, finally corrected. Simulation results show feasibility algorithm. Echo processing result an X-band indicates that can be...

In this study, a novel algorithm based on three‐dimensional scaled Fourier transform (TDSFT) is proposed for parameter estimation of quadratic frequency modulated (QFM) signal. To solve the problem signal‐to‐noise ratio loss caused by constant delay, variable‐delay instantaneous autocorrelation function first proposed. After that, two steps TDSFT and addition operation are performed to achieve decoupling coherent integration signal energy. The analysis shows that can be efficiently...

This paper considers the long-time coherent detection problem for maneuvering targets with jerk motion. A novel method based on product-scaled integrated cubic phase function (PSICPF) is proposed. The main strategy of PSICPF to estimate target’s motion parameters along slow time each range frequency cell. In order eliminate coupling terms between and time, scaled nonuniform fast Fourier transform (SNUFFT) newly defined in (ICPF). Then, product operation employed coherently synthesize...

In recent years, target detection has drawn increasing attention in the field of radar signal processing. We consider problem coherent integration for detecting a highly maneuvering with complex motion, involving range migration (RM), linear Doppler frequency migration, and quadratic within interval. Owing to different sensitivity envelope phase parametric nonparametric models are, respectively, established. A coarse-to-fine algorithm is correspondingly proposed. Specifically, keystone...

We consider the coherent detection problem for maneuvering targets with jerk motion. The range migration and Doppler frequency are addressed within interval. An efficient integration method based on time reversal transform (TRT) scaled nonuniform fast Fourier (SNuFFT) is proposed. First, effects of velocity eliminated by multiplying signals before after TRT operation. Then, SNuFFT newly defined to achieve integration. In comparison several existing methods, proposed has much lower...

Energy loss of energetic ions in solid is crucial many field, and accurate prediction the ion stopping power a long-time goal. Though great efforts have been made, it still very difficult to find universal model accurately calculate distinct target materials. Deep learning algorithm newly emerged method solve multi-factors physical problems can mine deeply implicit relations among parameters, which make powerful tool energy prediction. In this work, we developed an based on deep learning....

This paper considers the time difference of arrival (TDOA) and frequency (FDOA) estimation problem for joint localization using unmanned aerial vehicles (UAVs), involving range migration (RM) Doppler ambiguity within observation interval. A robust method based on interpolation resampling is proposed. Specifically, artificially increases pulse repetition (PRF). After that, eliminates coupling between slow time. Finally, a coherent integration step inverse discrete Fourier transform (IDFT)...

This study proposes an algebraic distributed source localisation algorithm that combines time difference of arrival (TDOA) and angle (AOA) measurements. The proposed uses AOAs to remove the unknown parameters in TDOA equations caused by specially structure. Then, observation are transformed into a set pseudo-linear apply linear weighted least square obtain position. application weighting matrix can lead approximate maximum likelihood estimator produce substantial improvement accuracy. Both...

Fingertips positions play an important role in Human Computer Interaction. Traditional methods for fingertip detection, based on RGB images, are designed stretched fingers only. Recent research, only depth could not perform well. In this paper, we propose a method detecting and tracking the 3D position of single fingertip, recognizing its motion. Our algorithm is fusion 2D detection. order to promise accuracy detection smooth movement trajectory, Kalman filter proposed. Finally, hand motion...

In recent years, target detection has drawn more and attention in the field of radar signal processing. This paper addresses coherent integration problem for detecting maneuvering targets involving range migration (RM) Doppler frequency (DFM). A novel method based on keystone transform (KT) cubic phase function (CICPF) is proposed. specific, RM firstly removed by KT fold factor compensation. Then, CICPF estimates velocity acceleration target. Finally, achieved after compensating DFM. Both...

This paper describes a sinusoidal chirplet transform (SCT) to estimate the parameters of frequency modulated (SFM) signal. With idea parametric time-frequency (TF) analysis, TF concentration could be greatly improved. Moreover, iteration process provides more accurate and refined parameter estimation results. Numerical evaluation shows SCT can provide better achieve balance between accuracy computational complexity.

In recent years, target detection has drawn increasing attention in the field of radar signal processing. This paper addresses coherent integration problem for detecting highly maneuvering targets with jerk motion. A novel method based on location rotation transform (LRT) and threedimensional scaled Fourier (TDSFT), namely LRT- TDSFT, is proposed this paper. method, linear range migration (LRM) first eliminated by LRT. Then, Doppler frequency (LDFM) quadratic (QDFM) are accurately estimated...

The track is an important basis for the classification and identification of radar air targets. In this paper, equations aircraft motion model, including horizontal straight, arc vertical arc, are firstly derived. Then, by taking Earth-fixed coordinate system as a bridge, transformations used to obtain target parameters, i.e., range, azimuth pitch angle. influence Earth curvature in long-distance conditions compensated. recognition method based on radial function (RBF) neural network further...

Long-term coherent integration is an effective method for target detection. However, the inevitable motion compensation errors and complex background clutter seriously limit detection performance of a cell-averaging constant false alarm rate (CFAR) detector. A generalized CFAR detector on Riemannian manifold Hermitian positive-definite matrix proposed. Based α log-determinant divergence (α-LDD) symmetrized α-LDD, mean reference cells first estimated. Then dissimilarity between covariance...

This paper introduces a RF simulation modeling method for netted radar countermeasures. The model adopts injection mode, which can simulate three Netted Radars realistically. Each includes the electromagnetic environment of EW, and is equipped with target echo channel, active jamming support channel passive channel. physical complete laboratory evaluation effect multiple electronic devices to high fidelity.

We address the covariance matrix estimation problem for radar adaptive detection in a non-Gaussian clutter environment. first propose an method based on α log-determinant divergence, which estimates true accurately by solving geometric mean of sample (SCM). Since performance would be seriously degraded when number secondary data is insufficient, knowledge-aided then proposed. Under similarity constraint between priori and one, closed form expression derived minimizing divergence real SCM....