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The Pulse Compression and Sidelobe Suppression for High Frequency Wave Radar

Author: ZhengYan
Tutor: ZhangQingXiang
School: Harbin Institute of Technology
Course: Electronics and Communication Engineering
Keywords: The principle of pulse compression Phase encoded signals Sidelobe suppression Doppler frequency compensation
CLC: TN957.51
Type: Master's thesis
Year: 2011
Downloads: 83
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Abstract


A curvature of the earth limit strong diffraction characteristics of the propagation of electromagnetic waves in the high frequency band (between 2MHz and 30MHz frequency) conductive sea surface, can be detected relatively far away from the Earth's surface targets or low-altitude targets. We use this advantage to the radar system, and has played a significant role in promoting the development and practice of high-frequency surface wave radar. In addition to the high-frequency surface wave radar has the ability to detect distant targets, the radar of the high-frequency band, and also make it anti-stealth capability, so doing aircraft, missiles, ships remote detection has been widely used. In the high frequency radar signal processing, pulse compression technologies have been widely used, it is very important to signal processing means. It is defined as: in order to increase the detection distance, the emission width of the encoding pulse signal, in order to improve the distance resolution, the echo signal is processed to obtain a narrow pulse signal. Pulse compression radar system used three types of pulse pressure signal contains: a phase modulation signal, chirp signal, as well as non-linear FM signal. The first chapter describes the background of the high-frequency surface wave radar, and the course of development of pulse compression technology, foreign scholars technical achievements of the side lobe suppression. The second chapter describes the radar signal theory, radar ambiguity function definitions, and the nature, pulse compression principle, the use of fuzzy function discussed Barker codes, Frank codes, P4 code, and so the performance of the phase encoding signal autocorrelation function and Doppler The frequency shift acumen brief chirp - phase encoded signals. The third chapter discusses the nature of the chirp signal, after a brief introduction to the frequency domain, then the signal the principle of pulse compression radar matlab simulation, including the frequency characteristics of the amplitude of the signal before matched filtering, matched filtering The complex envelope, and the pulse compression and the resolution of the actual radar system simulation. Then discuss the chirp signal sidelobe weighting issues, plus time-domain window function method to suppress sidelobes. Finally, the simulation of the impact of the chirp signal in its performance under the conditions of different Doppler shift. Fourth chapter discusses the phase encoded signals sidelobe suppression and Doppler compensation algorithm, first an overview of the signal several sidelobe suppression algorithm, and then use the minimum mean square inverse filtering algorithm inhibition of 13, 11, 7 Buck sidelobe code, then the iterative least-squares method to inhibit the 13-bit Barker code, 16 Franck code, 16 P4 code sidelobes, these two methods have achieved good inhibitory effect. Then introduces Doppler compensation technique of the two-phase encoded signal, and then by interpolation Doppler compensation algorithm for different SNR Barker code, M sequences of Doppler frequency shift compensation, and calculating the peak sidelobe level integral sidelobe level.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Radar signal detection and processing
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