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reduction of only 2.3 dB in the ACRL is obtained by using fifth-order predistortion. However, at the higher output power of 65 W, third-order predistortion can only reduce the ACRL by 7 dB, but a further 7 dB can be achieved by using fifth-order predistortion. This is because, at low output powers, the HPA is already operating in a relatively linear region of the characteristic, so fifth-order predistortion does not provide much further reduction in the ACRL. However, at higher output power levels, the HPA is operating in a more nonlinear region of the characteristic and so requires higher order predistortion to reduce the ACRL. Figure 8(b) shows that the ACLR reduction by using the fifth-order predistorter is between 13.67 dB at the output power of 65.6 W and 16.5 dB at the output power of 28.2 W. CONCLUSIONSA fifth-order analog predistorter using the inband IM signals for predistortion of base station HPAs has been proposed and designed. The predistorter employs the IM3 and IM5 signal generators with same configuration to independently generate the IM3 and IM5 to suppress the IMDP3 and IMDP5 at the HPA output. Results of tests on the predistorter prototype using a standard IS-95 CDMA signal in a practical 100-W HPA have shown that the proposed fifth-order predistorter can significantly suppress the ACLR at the output of the HPA over a wide range of output power level.ABSTRACT: A novel design for simultaneous axial strain and temperature measurement using a PM fiber Bragg grating (PMFBG) concatenated with a Sagnac fiber loop mirror is proposed and demonstrated. The PMFBG acts as a sensor head, and the Sagnac fiber loop mirror serves as a filter to convert wavelength variation to optical power change. By measuring the wavelength difference and power difference of two resonant peak of the PMFBG, simultaneous measurement of axial strain and temperature can be realized. Maximum errors of 66.821 le and 60.001 C are reported over 480 le and 60 C measurement ranges, respectively. This scheme has the advantage of low cost, compact configuration, and conveniently using.

This paper focuses on the construction of college students' credit evaluation system and credit risk management under the background of big data. Firstly, based on the 5C approach, this paper evaluates the personal credit of college students from 5 dimensions and 24 indicators, which finally contribute to the establishment of the credit evaluation system for college students. Then, the partial least squares method is used to build the structural equation model to evaluate the effectiveness of the credit evaluation system for college students. According to the in-depth analysis of PSL-SEM, the factors that affect the credit risk of college students are effectively evaluated, and it has contributed to the establishment and improvement of the credit system of college students. Keywords: Personal Credit, Credit Evaluation, Credit Risk, 5C Approach, PLS-SEM.

When combined with deep learning theory and blended learning characteristics, the author develops a blended teaching mode centered on “deep learning.” A blended teaching mode centered on “deep learning” is developed, and the professional course of “Personal Finance” at a higher vocational college in Jiangsu Province is used to demonstrate and apply the method. According to studies, teachers can effectively promote students’ deep learning by utilizing information teaching resources in a blended “online + offline” mode of instruction. The research shows that teachers can create a meaningful learning environment, stimulate students’ enthusiasm for autonomous learning, guide students to complete the construction of knowledge meaning, deepen the transmission and application of knowledge, solve practical problems, effectively promote students’ in-depth learning, and design a variety of evaluation methods to assist this process. The study of learning environment can stimulate students’ enthusiasm for autonomous learning, guide students to complete the construction of knowledge significance, strengthen knowledge transfer and application to practical problems, develop a variety of evaluation methods, and help students reflect on their learning gains.