Target Detection via Cognitive Radars Using Change-Point Detection, Learning, and Adaptation
نویسندگان
چکیده
منابع مشابه
Optimal Point Target Detection Using Digital Radars
This paper presents an overview of recent progress of radar for the image detection and characterization of targets. MIMO radar can improve on conventional target detection, parameter identification, and target classification performance via diversity of, among other things, its simultaneously transmitted waveforms. However, the mutual interference among the waveforms may lead to considerable p...
متن کاملPerformance of Target Detection in Phased-MIMO Radars
In this paper, the problem of target detection in phased-MIMO radars is considered and target detection performance of phased-MIMO radars is compared with MIMO and phased-array radars. Phased-MIMO radars combine advantages of the MIMO and phased-array radars. In these radars, the transmit array will be partitioned into a number of subarrays that are allowed to overlap and each subarray transmit...
متن کاملChange-Point Detection using Krylov Subspace Learning
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace learning works well both in matrix compression and implicit calculation of the inner product by taking full advantage of the arbitrariness of the seed vector. We apply our algorithm to a PCA-based change-point detecti...
متن کاملmoving target detection in stepped frequency radars using compressive sensing
stepped frequency radars attract many attentions due to their high range resolution. conventional processing technique in these radars is based on the idft. in detecting moving targets, the idft has the problems of range shifting and range spreading, which result in degrading target amplitude, loss of range accuracy and range resolution. to overcome these problems, the velocity compensation met...
متن کاملTarget Detection in Bistatic Passive Radars by Using Adaptive Processing Based on Correntropy Cost Function
In this paper a novel method is introduced for target detection in bistatic passive radars which uses the concept of correntropy to distinguish correct targets from false detections. In proposed method the history of each cell of ambiguity function is modeled as a stochastic process. Then the stochastic processes consist the noise are differentiated from those consisting targets by constructing...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Circuits, Systems, and Signal Processing
سال: 2020
ISSN: 0278-081X,1531-5878
DOI: 10.1007/s00034-020-01465-z