Results 161 to 170 of about 1,748 (212)

Radar HRRP target recognition with deep networks

Pattern Recognition, 2017
Abstract Feature extraction is the key technique for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP). Traditional feature extraction algorithms usually utilize shallow architectures, which result in the limited capability to characterize HRRP data and restrict the generalization performance for RATR.
Bo Chen, Hongwei Liu
exaly   +2 more sources

One-Shot HRRP Generation for Radar Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2022
Insufficient data of a noncooperative target seriously affect the performance of radar automatic target recognition (RATR) using the high-resolution range profile (HRRP), especially when the noncooperative target has only one sample. To this end, we propose an unsupervised data generation method to generate noncooperative HRRP signals.
Liangchao Shi, Yi Wen, Yihong Zhuang
exaly   +2 more sources

Radar HRRP statistical recognition based on hypersphere model

Signal Processing, 2008
The theoretical analysis and experimental results in this paper show that the independence assumption regarding elements in a radar high-resolution range profile (HRRP) sample, under which some statistical recognition methods were proposed, is not true.
Lan Du, Hongwei Liu
exaly   +2 more sources

A Cognitive Stepped Frequency Strategy for HRRP Estimation [PDF]

2017 Sensor Signal Processing for Defence Conference (SSPD), 2017
The problem of High Resolution Range Profile (HRRP) estimation is considered in this paper. In particular, stepped frequency waveforms are devised to enhance target Range Profile (RP) estimation accuracy. The basic idea relies on the dynamic optimization of the probing waveform accounting for some feedback information to minimize the profile estimation
Pallotta L., Carotenuto V., Aubry A., De Maio A., Iommelli S.   +4 more
openaire   +3 more sources

Natural Scene Recognition Based on HRRP Statistical Modeling

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Natural scene classification based on high resolution one-dimensional range profile (HRRP) has significant value in the field of target recognition and environmental monitoring. Statistical modeling of HRRP has been widely used to extract useful information from clutter-like signals.
Shu-Qi Lei, Dong-Xiao Yue, Feng Wang 0022   +2 more
openaire   +1 more source

Classifying HRRP by AdaBoostSVM

2008 9th International Conference on Signal Processing, 2008
Radar target identification by using high resolution range profile (HRRP) have been studied extensively. Effective way of HRRP classification by support vector machine (SVM) was studied in this paper. In order to improve the classification performance of SVM, the approach of improving the classification performance of AdaBoostSVM was studied.
Chongming Wu, Xiaodan Wang, Chunying Zheng   +2 more
openaire   +1 more source

Support vector machine for HRRP classification

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
Radar target identification schemes by using high resolution range profile(HRRP) as features have been studied extensively. In practical systems we usually have only a very limited amount of training data. Therefore how to train a classifier with good generalization performance based on the training set is obviously a challenging task.
Xiao-dan Wang, Ji-qin Wang
openaire   +1 more source

HRRP recognition in radar sensor network

Ad Hoc Networks, 2017
Abstract In this paper, several high-resolution range profile (HRRP) recognition approaches in radar sensor network (RSN) are investigated. First, we study HRRP target recognition in a radar. A decision rule based on the minimum resistor-average (MRA) distance criterion is established for HRRP sequence recognition.
Chengchen Mao, Jing Liang 0002
openaire   +1 more source

Polarimetric HRRP Target Recognition Based on Convlstm

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The high resolution range profiles (HRRPs) of different polarimetric channels can enhance the recognition performance. Few existing methods focus on combining the structure information with correlation between different polarimetric channels. In this paper, we applied ConvLSTM to polarimetric HRRP target recognition. ConvLSTM can be used to combine the
Wei Chen, Liang Zhang 0035, Ying Xi, Yanhua Wang, Yang Li 0048   +4 more
openaire   +1 more source

A Hierarchical Network (HRRP(k)) and Its Application

2010 IEEE Asia-Pacific Services Computing Conference, 2010
This paper is concerned with the problem of how to share distributed resources. Based on a distributed resource sharing application in schools, an HRRP(k) network is proposed and its properties studied. It is proven that the HRRP(k) network has better performance than a 2-D mesh in group communication.
Fang-Ai Liu, Chang-Ming Xing
openaire   +1 more source