TypeScript is a dynamically typed language widely used to develop large-scale applications nowadays. These applications are usually designed with complex class or interface hierarchies and have highly polymorphic behaviors. These object-oriented (OO) features will lead to inefficient inline caches (ICs) or trigger deoptimizations, which impact the performance of TypeScript applications. To address this problem, we introduce an inline caching design called hidden inheritance (HI). The basic idea of HI is to cache the static information of class or interface hierarchies into hidden classes, which are leveraged to generate efficient inline caches for improving the performance of OO-style TypeScript programs. The HI design is implemented in a TypeScript engine STSC (Static TypeScript Compiler) including a static compiler and a runtime system. STSC statically generates hidden classes and enhanced inline caches, which are applied to generate specialized machine code via ahead-of-time compilation (AOTC) or just-in-time compilation (JITC). To evaluate the efficiency of this technique, we implement STSC on a state-of-the-art JavaScript virtual machine V8 and demonstrate its performance improvements on industrial benchmarks and applications.

Due to the low correlation of SAR data in Yunnan mountainous area, special interferometric processing method is proposed in this paper. Initially, two SLC images are analyzed and co-registrated by using different correlation functions. The best registration result is selected through correlation evaluation. Then, the noisy phase is multi-looked and smoothed by four phase filtering algorithms. The most appropriate filtering method is chosen by evaluating the filtered phase. Subsequently, the Goldstein's branch cut method guided by residues grouping is employed to derive the unwrapped phase. Ultimately, both the gradient-jump point number and its distribution are utilized to evaluate the unwrapped results and identify errors in unwrapped phase.

Deceptive jamming, covering the true targets and producing false targets in the SAR image, has been widely applied in electronic warfare. To effectively suppress the deceptive jamming generated by detecting parameters of target echoes, this work proposes a novel anti-jamming approach. Firstly, the chirp signal with varying initial phase is predesigned and transmitted. Then, the random initial phases of received echoes are removed before imaging. The imaging outputs of the deceptive jamming and real signal are derived through theoretical analysis. By comparing those signal models, we obtain that the proposed method induces the defocusing of false signal while the real signals are well focused. Finally, the performance of deceptive jamming suppression method is validated by simulation.

This paper investigates the method for 3-D buildings reconstruction using the fusion of SAR and optical sensors. First, the joint positioning equation is described as the foundation of this method. Then, the principal steps of this method are recommended. Image registration is employed to obtain a mapping function between the two images as the first step. And the 3-D coordinates are calculated with the joint positioning equation. Afterwards, the 3-D buildings are reconstructed using the 3-D coordinates obtained above. Finally, an experiment is conducted to show the reconstruction result of this method.

This paper investigates the joint use of SAR image and optical image for stereo positioning. To obtain the 3D information of target in the real scene, the geometric relationship between optical radar and SAR are initially established. Then, two angle equations of optical data and a slant range equation of SAR data are jointly utilized to derive the 3D coordinate of target. To further analyze the impact of uncertain measurer errors such as range measurement, orbit, and angle measurement on the novel location model, the partial derivatives of resultant elevation are mainly discussed. Finally, computer simulations are provided to show the error range of the proposed method according to different measurer errors.