Linear‐FM random radar waveform compressed by dechirping method

Liu, Jiafang; Zhang, Yunhua; Dong, Xiao

doi:10.1049/iet-rsn.2018.5432

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…We also need to further explain the two effects of the filter on the AFs: (1) the signal band is reduced; however the large signal bandwidth is very helpful for obtaining low PSL and ISL. (2) the phase of the waveform can be influenced by the filter resulting in waveform distortion [51,52].…”

Section: Experimental Validationmentioning

confidence: 99%

Joint Design of Complementary Sequence and Receiving Filter with High Doppler Tolerance for Simultaneously Polarimetric Radar

Chen,

Zhang,

et al. 2023

Remote Sensing

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Simultaneously polarimetric radar (SPR) realizes the rapid measurement of a target’s polarimetric scattering matrix by transmitting orthogonal radar waveforms of good ambiguity function (AF) properties and receiving their echoes via two orthogonal polarimetric channels at the same time, e.g., horizontal (H) and vertical (V) channels (antennas) sharing the same phase center. The orthogonality of the transmitted waveforms can be realized using low-correlated phase-coded sequences in the H and V channels. However, the Doppler tolerances of the waveforms composed by such coded sequences are usually quite low, and it is hard to meet the requirement of accurate measurement regarding moving targets. In this paper, a joint design approach for unimodular orthogonal complementary sequences along with the optimal receiving filter is proposed based on the majorization–minimization (MM) method via alternate iteration for obtaining simultaneously polarimetric waveforms (SPWs) of good orthogonality and of the desired AF. During design, the objective function used for minimizing the sum of the complementary integration sidelobe level (CISL) and the complementary integration isolation level (CIIL) is constructed under the mismatch constraint of signal-to-noise ratio (SNR) loss. Different SPW examples are given to show the superior performance of our design in comparison with other designs. Finally, practical experiments implemented with different SPWs are conducted to show our advantages more realistically.

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Section: Experimental Validationmentioning

confidence: 99%