Radar System Simulation with Phase-Coded Intra-Pulse Linear Frequency Modulation Hybrid Signals

This paper presents a radar system simulation utilizing phase-coded intra-pulse linear frequency modulation hybrid signals. The system implements several key functions through signal processing algorithms, including digital quadrature demodulation (typically implemented using I/Q demodulation with Hilbert transforms), pulse compression processing (achieved through matched filtering using correlation operations), fixed target cancellation (implemented via clutter filtering algorithms), moving target detection (MTD using Doppler processing with FFT-based velocity analysis), and constant false alarm rate (CFAR) processing (commonly implemented through cell-averaging or ordered-statistics algorithms).

The radar system finds applications across multiple domains such as aerospace, military defense, and weather monitoring. It enables navigation and detection for aircraft and vessels, monitors severe weather conditions, and detects target objects through waveform generation and signal processing techniques. Implementation typically involves waveform synthesis using digital-to-analog converters and echo processing with digital signal processors.

Further technical details regarding phase-coded intra-pulse linear frequency modulation hybrid signals can be explored. Key characteristics include improved range resolution through pulse compression and enhanced Doppler tolerance via phase coding. The hybrid modulation combines Barker or polyphase codes with linear FM chirps, implemented through concatenated modulation functions in MATLAB or Python using waveform generation libraries. Comparative analysis with pure phase-coded or frequency-modulated signals demonstrates advantages in ambiguity function performance and jamming resistance.

The underlying algorithms and implementation techniques warrant detailed examination. Pulse compression is typically realized through matched filtering using correlation operations in frequency domains (FFT-based convolution). Fixed target cancellation employs adaptive filtering algorithms like LMS or RLS filters, while MTD implements Doppler filter banks using FFT processing with windowing functions. These algorithms can be demonstrated through mathematical models showing waveform equations and processing flowcharts, with practical examples featuring performance metrics like probability of detection and false alarm rates.

By incorporating these technical expansions, the documentation maintains all original key concepts while providing comprehensive implementation details suitable for engineering applications and algorithmic development.