研究目的
To propose a novel dechirp processing method for wideband nonlinear frequency modulation (NLFM) waveforms that enables low sampling rate of data and achieves better pulse compression with low range sidelobes without signal-to-noise ratio degradation.
研究成果
The proposed dechirp processing method for NLFM waveforms effectively reduces the sampling rate requirement while achieving low range sidelobes without SNR degradation. It is validated through simulations and real experiments, showing good agreement with expected performance. Future work should focus on optimizing the window functions for better balance between sidelobes and bandwidth deviation.
研究不足
The method requires that the target extent is smaller than the spatial range covered by the chirp time duration to avoid signal aliasing. Nonlinear distortions in the radar system and limited digitization length may affect performance. The hamming window may not be optimal; further investigation into better windows is needed.
1：Experimental Design and Method Selection:
The method involves dechirping NLFM radar echoes by mixing with a local reference LFM signal to produce narrowband signals, followed by up-sampling, inverse dechirping in software, and matched filtering for pulse compression. Hamming window is used in NLFM waveform generation for optimal performance.
2：Sample Selection and Data Sources:
Numerically simulated data and real radar data from an experimental radar system are used, including inner calibration and outfield experiments with static targets.
3：List of Experimental Equipment and Materials:
Includes an arbitrary waveform generator, up-convertor, frequency synthesizer, dechirping receiver, control electronics, data recording device, and antennas (22 dBi gain).
4：Experimental Procedures and Operational Workflow:
Echoes are mixed with reference LFM signal, digitized at low sampling rate (e.g., 50 MHz), up-sampled to higher rate (e.g., 300 MHz), inverse dechirped in software, and matched filtered.
5：Data Analysis Methods:
Fourier transforming and matched filtering are used for pulse compression; performance is evaluated based on peak sidelobe level ratio (PSLR) and signal-to-noise ratio (SNR).
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