The Autocorrelation Spectral Density for Doppler-Weather-Radar Signal Analysis

Warde, David A.; Torres, Sebastián

doi:10.1109/tgrs.2013.2241775

Cited by 30 publications

(13 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can select low, medium, or high pulse repetition frequencies waveforms according to different tactical states and can obtain the best performance of various working states [123]. Using Doppler beam sharpening technology to obtain high resolution, high-resolution map mapping and highresolution local magnification mapping can be provided in air-to-ground applications [124,125] and dense formation targets can be distinguished by judging the state of air-toair enemy. Within the framework of the Kirchhoff approximation, different mD responses for various air targets were experimental tested by Meshkov and Karaev [126] using collecting the radar signal with the digital television broadcast signals.…”

Section: Doppler Methodmentioning

confidence: 99%

Processing Technology Based on Radar Signal Design and Classification

Zhang

Zhan

2020

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

It is well known that the application of radar is becoming more and more popular with the development of the signal technology progress. This paper lists the current radar signal research, the technical progress achieved, and the existing limitations. According to radar signal respective characteristics, the design and classification of the radar signal are introduced to reflect signal’s differences and advantages. The multidisciplinary processing technology of the radar signal is classified and compared in details referring to adaptive radar signal process, pulse signal management, digital filtering signal mode, and Doppler method. The transmission process of radar signal is summarized, including the transmission steps of radar signal, the factors affecting radar signal transmission, and radar information screening. The design method of radar signal and the corresponding signal characteristics are compared in terms of performance improvement. Radar signal classification method and related influencing factors are also contrasted and narrated. Radar signal processing technology is described in detail including multidisciplinary technology synthesis. Adaptive radar signal process, pulse compression management, and digital filtering Doppler method are very effective technical means, which has its own unique advantages. At last, the future research trends and challenges of technologies of the radar signals are proposed. The conclusions obtained are beneficial to promote the further promotion applications both in theory and practice. The study work of this paper will be useful for choosing more reasonable radar signal processing technology methods.

show abstract

Section: Doppler Methodmentioning

confidence: 99%

Processing Technology Based on Radar Signal Design and Classification

Zhang

Zhan

2020

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

show abstract

“…Finally, noise will retain in the background because of the signal model provided in the first part of Eq. (12). Specifically, when S qn = 0,…”

Section: B Lrmo Applied To Artifact Removalmentioning

confidence: 99%

“…Hence, proper clutter detection algorithm should be implemented before clutter filtering. Recently, the Clutter Environment Analysis using Adaptive Processing (CLEAN-AP), which is based on the phase of the auto-correlation spectral density, has been proposed [12]. CLEAN-AP integrates clutter detection and filtering in one algorithm, and this filter uses both magnitude and phase for improved notch width determination that results in smaller biases.…”

Section: Introductionmentioning

confidence: 99%

Radar Target and Moving Clutter Separation Based on the Low-Rank Matrix Optimization

Yin

Unal

Schleiss

et al. 2018

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Abstract-A novel algorithm is put forward to separate radar target and moving clutter based on a combination of the low-rank matrix optimization (LRMO) and a decision tree. Similar to the moving object detection in the field of automated video analysis, the proposed separation method, which is carried out in the range-Doppler domain, makes use of different motion variation of radar target and clutter in the spectrogram sequence. The technique is very general but the focus of this paper is on narrowband moving clutter suppression in weather radar. The first step in implementing this method is the generation of a rangeDoppler spectrogram sequence. Then, the LRMO is applied to the obtained sequence to divide target and moving clutter into foreground and background. From the foreground sequence which is obtained by solving the LRMO, foreground frequency and spectral width are combined in a decision tree to obtain a filtering mask to mitigate the narrow-band moving clutter and noise. Data collected by a polarimetric Doppler weather radar known as the IRCTR Drizzle Radar (IDRA) are used to validate the performance of the proposed algorithm. Moreover, its effectiveness in removing narrow-band moving clutter is quantitatively assessed through comparisons with another clutter mitigation method.

show abstract

“…Another algorithm, clutter environment analysis using adaptive processing (CLEAN‐AP) combines a detection algorithm based on the autocorrelation spectral density (ASD) [15 ] with a clutter removal and weather reconstruction stage [12 ]. The use of ASD preserves the phase information and allows detecting narrow‐band interference even when not centred around zero Doppler velocity.…”

Section: Introductionmentioning

confidence: 99%