Pulse Compression Waveform and Filter Optimization for Spaceborne Cloud and Precipitation Radar

A Novel Optimization Strategy of Sidelobe Suppression for Pulse Compression Weather Radar

“…This processing set can explain the influence of sidelobe superposition of distributed meteorological targets. Thereafter, the PCE method is used and the RMSE and AR are calculated through (18) and (21) to quantitatively analyze the advantages of the proposed method. Finally, the real in-phase STEP 2: Calculate W opt according to (14).…”

“…Argenti et al [12] designed transmit waveforms and receive filters using the quadratic nonlinear optimization method by minimizing both PSLR and integrated sidelobe ratio (ISLR) of the waveform at the receiver output, and the PSLR and ISLR can reach −80 dB and −70 dB, respectively with the loss of resolution degradation. Beauchamp et al [18] discussed the optimal design of pulse compression waveform/filter pairs for use with near-nadir spaceborne radar in low Earth orbit for the observation of clouds and precipitation. It was demonstrated that the LFM waveforms provide superior performance over NLFM waveforms for the application subject to unmitigated Doppler shifts and the PSLR and ISLR could reach −56 dB and −34 dB, respectively using the minimum integrated sidelobe (ISL) mismatch filter.…”

Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar

“…With (9), it always holds true that µ X (m * ) , W (m * ) − η X (m * ) , W (m * ) • f X (m * ) , W (m * ) = 0.…”

“…Moreover, the reflected waveform resulting from a point scatterer is compressed to realize the correlation function (CF) whose mainlobe resolution commensurates with what a very short pulse would have provided, along with the addition of range sidelobes [1]. As the CF shape determines the obtained SNR and the point-like target detection performance, it is expected that the CF should have a narrow mainlobe and much lower sidelobe levels [8], [9]. As a result, the design of waveform combined with the matched filter has been studied extensively to obtain the desirable shape of the mainlobe in terms of range resolution and peak SNR while suppressing the undesired sidelobes to avoid masking weak targets in the sidelobe of a closely spaced target.…”

Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Extended Mismatch Filter

“…As a signal processing technique, pulse compression widens the bandwidth of the transmitted pulse by modulating it in either phase or frequency, and then the received echo is usually processed by a matched filter which compresses the long pulse to a short duration. The first attempt of implementing pulse compression on weather radar systems is back to 1970s [2], and some works investigated several technical and engineering aspects, see [3][4][5] and references therein.…”