By Harry L. Van Trees
ISBN-10: 0471093904
ISBN-13: 9780471093909
ISBN-10: 0471221104
ISBN-13: 9780471221104
- Well-known authority, Dr. Van timber updates array sign processing for trendy expertise
- This is the main updated and thorough therapy of the topic to be had
- Written within the related obtainable type as Van Tree's prior classics, this thoroughly new paintings covers all glossy functions of array sign processing, from biomedicine to instant communications
Content:
Chapter 1 advent (pages 1–16):
Chapter 2 Arrays and Spatial Filters (pages 17–89):
Chapter three Synthesis of Linear Arrays and Apertures (pages 90–230):
Chapter four Planar Arrays and Apertures (pages 231–331):
Chapter five Characterization of Space?time tactics (pages 332–427):
Chapter 6 optimal Waveform Estimation (pages 428–709):
Chapter 7 Adaptive Beamformers (pages 710–916):
Chapter eight Parameter Estimation I: greatest chance (pages 917–1138):
Chapter nine Parameter Estimation II (pages 1139–1317):
Chapter 10 Detection and different themes (pages 1318–1339):
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Additional resources for Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory
Sample text
The class of signals included with unknown parameters, and signals that are Gaussian random processes. This problem was and Chapters III-1 through 111-5. (ii) Estimation signals known sample covered in the presence signals, signals functions from in Chapter I-4 theory In this case, we were concerned with estimating the parameters of signals in the presence of Gaussian noise. This problem was covered in Chapter I-4 and Chapters III-6 and 111-7. (iii) Modulation theory In this case, we were concerned with estimating a continuous waveform (or the sampled version of it).
The subscript k denotes that the argument is in k-space. The subscript1 is to distinguish it from other variables we will use later as arguments to the array manifold vector. In this case, we shift the inputs frorn each sensor so that the signals are aligned in time and add them. 11, where we have included a normalization factor l/N so the output is j(t). 31) This processor is referred to as a delay-and-sum beamformer or the conventional beamformer. 11 are physically realizable. 30) compactly in a matrix form in the frequency domain.
3, we specialize these results to a uniform linear array and study the characteristics of the beam pattern. 4, we further specialize these results to the case of a uni formly weighted linear array. This beam pattern. It leads to a beam pattern that we refer to as the conventional will play a fundamental role in many of our subsequent studies. 5, we discuss array steering and show how it affects the beam pattern in wavenumber space and in angle space. 6, we define three irnportant performance measures: (i) Directivity (ii) Array gain (iii) Tolerance function These performance measures are utilized throughout our discussion.
Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory by Harry L. Van Trees
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