机读格式显示(MARC)
- 000 03549cam a2200421 i 4500
- 008 220819s2023 fluad b 000 0 eng
- 020 __ |a 9781032374246 |q hardback
- 020 __ |a 9781032374277 |q paperback
- 020 __ |z 9781003340232 |q ebook
- 040 __ |a LBSOR/DLC |b eng |e rda |c DLC |d DLC
- 050 00 |a TK5102.5 |b .L585 2023
- 082 00 |a 621.382/2 |2 23/eng/20220908
- 099 __ |a CAL 022023064344
- 100 1_ |a Liu, Jun, |d 1983- |e author.
- 245 10 |a Adaptive detection of multichannel signals exploiting persymmetry / |c Jun Liu, Danilo Orlando, Chengpeng Hao, Weijian Liu.
- 264 _1 |a Boca Raton : |b CRC Press, Taylor & Francis Group, |c 2023.
- 300 __ |a xviii, 295 pages : |b illustrations, charts ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references.
- 505 0_ |a Basic concept -- Output SINR analysis -- Invariance issues under persymmetry -- Persymmetric adaptive subspace detector -- Persymmetric detectors with enhanced rejection capabilities -- Distributed target detection in homogeneous environments -- Robust detection in homogeneous environments -- Adaptive detection with unknown steering vector -- Adaptive detection in interference -- Adaptive detection in partially homogeneous environments -- Robust detection in partially homogeneous environments -- Joint exploitation of persymmetry and symmetric spectrum -- Adaptive detection after covariance matrix classification -- MIMO radar target detection.
- 520 __ |a "This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations and techniques enabling its practical implementation. The received data for modern radar systems are usually multichannel, namely, vector-valued, or even matrix-valued. Multichannel signal detection in Gaussian backgrounds is a fundamental problem for radar applications. With an overarching focus on persymmetric adaptive detectors, this book presents the mathematical models and design principles necessary for analyzing the behavior of each kind of persymmetric adaptive detector. Building upon that, it also introduces new design approaches and techniques that will guide engineering students as well as radar engineers towards efficient detector solutions, especially in challenging sample-starved environments where training data is limited. This book will be of interest to students, scholars, and engineers in the field of signal processing. It will be especially useful for those who have a solid background in statistical signal processing, multivariate statistical analysis, matrix theory, and mathematical analysis"-- |c Provided by publisher.
- 650 _0 |a Signal detection |x Statistical methods.
- 650 _0 |a Adaptive signal processing.
- 650 _0 |a Analysis of covariance.
- 650 _0 |a Symmetric matrices.
- 700 1_ |a Orlando, Danilo, |e author.
- 700 1_ |a Hao, Chengpeng, |d 1975- |e author.
- 700 1_ |a Liu, Weijian, |d 1982- |e author.
- 776 08 |i Online version: |a Liu, Jun, 1983- |t Adaptive detection of multichannel signals exploiting persymmetry. |b First edition |d Boca Raton : CRC Press, Taylor & Francis Group, 2023 |z 9781003340232 |w (DLC) 2022027868