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Polyphase Pulse Compression Codes Radar Signal Optimizing and Simulation

Author: XuJian
Tutor: CaoNing
School: Hohai University
Course: Signal and Information Processing
Keywords: polyphase codes pulse compression sidelobe reduction Weighting
CLC: TN957.5
Type: Master's thesis
Year: 2007
Downloads: 387
Quote: 4
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Executive Summary

P3、 P4 polyphase pulse compression codes, which were derived from linear-frequency modulation pulse compression waveforms and brought out by Lewis B.L. in early 1980s, are a kind of common pulse compression codes. Compared to linear-frequency modulation signals, they have low range-time-sidelobes without weighting in receiver; Compared to biphase signals, they have large Doppler tolerance. Additionally, these codes have low cross-correlation、 ease of implementation, compatibility with digital implementation and compatibility with bandpass limited receivers. So these codes are valued very much all the time. But, their utilization have been limited because of their complex compression procedure compared to biphase codes. These years, with the rapid development of digital technology and integrated circuit technology especially the implementation of DDS technology and Very Large Digital Signal Processor, it is possible to create and deal with these codes.This essay did some research in P3、 P4 polyphase’s properties and their realization technologies, discussed their spectrum、 ambiguity functions, Doppler tolerance and other properties thoroughly and systematically, and also researched their realization based on DDS, including performance evaluation board. In real utilization, we need more lower sidelodes to detect small targets beside large targets, because large targets’ sidelobe will submerge small targets. So it is very valuable to reduce the peak sidelobes. This thesis discussed three Weighting methodsto reduce the peak sidelobes-Classic Amplitude Weighting、 Post Compression 2-SampleAverager and Iterative Least Squares Techniques. Many computer simulation results and conclusions are given out. These conclusions provide a basis for their implementation.

Full-text Catalog

Abstract     5-6
Abstract     6-9
Chapter 1 Introduction     9-15
1.1 Background and significance     - 12
1.2 Research     12-13
1.3 papers arrangement     13-15
Chapter 2 pulse compression technology and radar waveform design principles     15-26
2.1 pulse compression technology principle     15-19
2.1.1 Overview   the   15-16
2.1.2 digital pulse compression techniques     16 -19
2.2 phase encoded signals digital pulse compression processing     19-23
the 2.3 radar waveform design principles     23-25 ​​
2.3.1 waveform design general     23-24
2.3.2 waveform design problem to be solved     24
relationship of mutual restraint between 2.3.3 radar signal parameters     24-25
2.4 Chapter Summary     25-26
Chapter 3 ambiguity function radar signal theory     26-37
the 3.1 radar signal detection and parameter estimation     26-29
3.2 ambiguity function distinguish theory     29-34
3.2.1 ambiguity function     29-31
3.2.2 ambiguity function radar resolution     31-34
3.3 radar signal ambiguity function classification     34-36
3.4 Chapter Summary     36-37
Chapter 4 polyphase coded pulse compression signal its     37-53
4.1 P3, P4 polyphase coded pulse compression signal     37-40
4.1.1 P3, P4 polyphase coded signals said     37 -38
4.1.2 based on the DDS P3, P4 polyphase code     38-40
4.2 P3, P4 polyphase coded pulse compression performance of the signal     40-49 < br /> 4.2.1 LPI     40-41
4.2.2 spectral characteristics     the 41-42 4.2.3 ambiguity function
4.2.4 pulse compression characteristics     44-45
4.2.5 Doppler frequency tolerance     45-49
4.3 based on AD9858 multiphase encoded signal generator     49-52
4.3.1 devices About     49-50
4.3.2 AD9858 multiphase encoded signal     50-52
4.4 This chapter Summary     52-53
Chapter 5 polyphase coded pulse compression the sidelobe signal suppression optimize     53-79
5.1 sidelobe suppression necessity     53
5.2 classic window function amplitude weighting its performance   the   53-66
5.2.1 window function weighted basic principles     53-54
5.2.2 Basic window function     54-58
5.2.3 P3, P4 coded signal window function weighted     58-62
5.2.4 P3, P4 code window function weighted Doppler performance     62 two sampling -66
5.3 compression processing method and its performance of the sliding window     66-69
5.3.1 basic principle     66-67
5.3.2 P3 P4 code compression two sampling after the performance of the sliding window approach     67-69
5.4 weighted iterative least-squares approach and its performance     69-78
5.4.1 basic principle   nbsp   69-73
5.4.2 weighted iterative least squares approach results;   73-78
5.5 Chapter Summary     78-79
Chapter 6 Conclusion     79-80
Reference     80-82
Acknowledgements     82

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment
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