Radar signal processing

Continued part 1, part 2 of ebook "Basic radar analysis" provides readers with contents including: stretch processing; phased array antenna basics; signal processor analyses; radar receiver basics; introduction to synthetic aperture radar signal processing; introduction to space-time adaptive processing; sidelobe cancellation; advances in radar;...

427p tieulangtran 28-09-2023 4 3   Download

Continued part 1, part 2 of ebook "Modern radar systems" provides readers with contents including: detectors; analogue-to-digital conversion; signal processing; threshold and detection; determination of position; performance; statistics; transforms;...

373p tieulangtran 28-09-2023 4 3   Download

Electromagnetic wave velocity is the most important parameter in processing ground penetrating radar data. Migration algorithm which heavily depends on wave velocity is used to concentrate scattered signals back to their correct locations.

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Beamforming is a signal processing technique. It has been studied in many areas such as radar, sonar, seismology and wireless communications, to name but a few. It can be used for a myriad of purposes, such as detecting the presence of a signal, estimating the direction of arrival, and enhancing a desired signal from its measurements corrupted by noise, competing sources and reverberation. Actually, Beamforming has been adopted by the audio research society, mostly to separate or extract speech for noisy environment.

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In the paper, will propose the prediction deconvolution technique for signal processing in GPR systems. The technique is developed based on the method of Least Square filter and Wiener filter. Our processed results have shown that by applying the proposed technique, received signals will be eliminated interference and give better images with high resolution.

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Tín hiệu là khái niệm chỉ ra các biến có mang hoặc chứa một loại thông tin nào đấy mà ta có thể biến đổi, hiện thị, gia công chẳng hạn như: tiếng nói, tín hiệu sinh học (điện tim, điện não đồ), âm thanh, hình ảnh, tín hiệu radar, sonar... Tín hiệu số là tín hiệu được biểu diễn bằng dãy số theo biến rời rạc. Xử lý tín hiệu số (DSP: Digital Signal Processing) là môn học đề cập đến các phép xử lý các dãy số để có được các thông tin cần thiết như phân tích, tổng...

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The purpose of The Electrical Engineering Handbook, 3rd Edition is to provide a ready reference for the practicing engineer in industry, government, and academia, as well as aid students of engineering.

388p chuyenphimbuon 21-07-2012 104 23   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Signal Processing of Ground Penetrating Radar Using Spectral Estimation Techniques to Estimate the Position of Buried Targets

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EURASIP Journal on Applied Signal Processing 2003:12, 1188–1197 c 2003 Hindawi Publishing Corporation Algorithm of the Radar Imaging by Using the Wideband Signals with the Distorted Signal Phases Yulia V. Zhulina Interstate Corporation “Vympel”, 125319 Moscow, Russia Email: yulia julina@mtu-net.ru Received 16 December 2002 and in revised form 30 June 2003 The problem of restoring an image by its Fourier transform is considered when the Fourier transform contains phase distortions. The nature of these distortions and their values are arbitrary.

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multiresolution Signal Processing Techniques for Ground Moving Target Detection Using Airborne Radar

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Much of signal processing involves extracting signals of interest from noise. Without noise to combat, a radar receiver could detect an echo by simple energy thresholding. In a noiseless world an infinite amount of information could be transmitted through a communications channel every second. Were it not for noise, signal classification would be reduced to dictionary lookup. Yet signals in the real world are always noisy. Radar echoes are buried under noise, making their detection impossible without sophisticated processing. ...

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Fundamentals Adaptive systems are at the very core of modern digital signal processing. There are many reasons for this, foremost amongst these is that adaptive filtering, prediction or identification do not require explicit a priori statistical knowledge of the input data. Adaptive systems are employed in numerous areas such as biomedicine, communications, control, radar, sonar and video processing (Haykin 1996a).

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POWER SPECTRUM AND CORRELATION Power Spectrum and Correlation Fourier Series: Representation of Periodic Signals Fourier Transform: Representation of Aperiodic Signals Non-Parametric Power Spectral Estimation Model-Based Power Spectral Estimation High Resolution Spectral Estimation Based on Subspace Eigen-Analysis Summary T he power spectrum reveals the existence, or the absence, of repetitive patterns and correlation structures in a signal process.

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State-Space Kalman Filters 7.2 Sample-Adaptive Filters y(m) e(m) µ α w(m) α z –1 wk(m+1) ADAPTIVE FILTERS 7.3 Recursive Least Square (RLS) Adaptive Filters 7.4 The Steepest-Descent Method 7.5 The LMS Filter 7.6 Summary A daptive filters are used for non-stationary signals and environments, or in applications where a sample-by-sample adaptation of a process or a low processing delay is required.

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1.1 Signals and Information 1.2 Signal Processing Methods 1.3 Applications of Digital Signal Processing 1.4 Sampling and Analog−to−Digital Conversion H E LL O ignal processing is concerned with the modelling, detection, identification and utilisation of patterns and structures in a signal process. Applications of signal processing methods include audio hifi, digital TV and radio, cellular mobile phones, voice recognition, vision, radar, sonar, geophysical exploration, medical electronics, and in general any system that is concerned with the communication or processing of information.

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THE ELECTRICAL ENGINEERING AND APPLIED SIGNAL PROCESSING SERIES Edited by Alexander Poularikas The Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real-Time Systems Stergios Stergiopoulos The Transform and Data Compression Handbook K.R. Rao and P.C. Yip Handbook of Multisensor Data Fusion David Hall and James Llinas Handbook of Neural Network Signal Processing Yu Hen Hu and Jenq-Neng Hwang Handbook of Antennas in Wireless Communications Lal Chand Godara Noise Reduction in Speech Applications Gillian M.

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Most real world signals of practical interest, such as speech, radar signals, sonar signals, and various communication signals such as audio and video signals are analog. To process an analog signal by digital means, it is vital to convert it into digital form. That is to convert it to a sequence of numbers having finite precision. This procedure is called analog-to-digital (A/D) conversion, and the corresponding devices are called A/D converters.

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The Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real-Time Systems Stergios Stergiopoulos The Transform and Data Compression Handbook K.R. Rao and P.C.

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The past 20 years witnessed an expansion of power spectrum estimation techniques, which have proved essential in many applications, such as communications, sonar, radar, speech/image processing, geophysics, and biomedical signal processing [13, 11, 7]. In power spectrum estimation the process under consideration is treated as a superposition of statistically uncorrelated harmonic components. The distribution of power among these frequency components is the power spectrum. As such, phase relations between frequency components are suppressed....

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Main Receive Aperture and Analog Beamforming Data to be Processed The Processing Needs and Major Issues Temporal DOF Reduction Adaptive Filtering with Needed and Sample-Supportable DOF and Embedded CFAR Processing 70.6 Scan-To-Scan Track-Before-Detect Processing 70.7 Real-Time Nonhomogeneity Detection and Sample Conditioning and Selection 70.8 Space or Space-Range Adaptive Pre-Suppression of Jammers 70.9 A STAP Example with a Revisit to Analog Beamforming 70.

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