PSLR estimation for SAR systems with consideration of clutter background

Abstract

Besides spatial resolution, the peak sidelobe ratio (PSLR) is another important parameter to assess the quality of a SAR system. For the verification of SAR performance parameters, usually the point target responses of a number of ground-fixed reference targets such as corner reflectors or active transponders are evaluated in the processed SAR image. The area around these reference targets should consist of a (natural) cover with a radar backscattering coefficient ?0 as small as possible in order to limit the backscattered clutter energy. For SAR systems with low PSLR requirements the effect of this clutter is mostly neglected and the PSLR is determined in a classical manner by the estimation of mainlobe and sidelobe amplitudes from the range and azimuth section of the two-dimenensional point target response. The verification of high performance SAR systems, where challenging performance specifications are to be fulfilled, requires a more accurate PSLR estimation. Hence, the ground clutter of the surrounding target area has to be taken into account. Due to the ground clutter's statistical nature the superposition of the clutter with mainlobe/sidelobe amplitude is stochastic, therefore these amplitudes and the PSLR itself can be regarded as random variables. In our paper we suggest a combined deterministic-statistical approach as a tradeoff to the fully statistical modelling of the PSLR. This approach exploits the statistical properties of mainlobe and sidelobe with consideration of point target and clutter energy. Error bounds of the estimated PSLR are derived using established parameters such as signal-to-clutter ratio (SCR) and the classically defined PSLR. Furthermore some simulational results are presented which enable an evaluation of the calculated error bounds

Analysis of TIADC channel mismatch effects on high-resolution range profile

“…Peak side lobe ratio (PSLR) [36], integrated side lobe ratio (ISLR) [37] and mainlobe width [38] are used to evaluate the quality of radar signal after pulse compression. Set the bandwidth of the real IF LFM signal B ¼ 0:3 Á f s , and the carrier frequency f c ¼ 0:25 Á f s .…”

Sidelobe Suppression with Resolution Maintenance for SAR Images via Sparse Representation

“…In order to evaluate the performance of the proposed method, PSLR [ 23 ] and ISLR [ 24 ] are introduced to measure the sidelobe level between the original SAR image and the reconstructed SAR image through the proposed method.…”

IRF Analysis Considering Clutter Background for SAR Image Qualification

“…Recently, the study on PSLR estimation considering the clutter background is investigated based on stochastic model [3]. A deterministic-statistical model of PSLR error is suggested as follows.…”

“…One way to approach this problem is to estimate the clutter effect by establishing a stochastic model. Recently, the study on the estimation method of impulse response function (IRF) taking into account a clutter environment has been reported [3]. Based on a stochastic model, the estimation method of image quality and the error bound of quality requirement were suggested for the high performance system design.…”