The development of flexible wearable triboelectric nanogenerators (TENGs) has attracted great interest in the application of self-powered multifunctional electronic devices. However, the practical application of textile-based TENGs still faces numerous obstacles, such as low-output performance, high-cost, and complex structure. Herein, we reported a novel wearable TENG based on nickel–copper bimetallic hydroxide nanowrinkles (NC-TENG) to harvest the mechanical energy from human motion. The nickel–copper bimetallic hydroxide and polytetrafluoroethylene (PTFE) film form a triboelectric pair, which was grown on carbon cloth via a hydrothermal method. Owing to the nano-scale surface topography of nickel–copper bimetallic hydroxide nanowrinkles, the NC-TENG may achieve high-output performance. The maximum instantaneous V_oc and I_sc of NC-TENG (size: 1 cm × 1 cm) arrived at 328 V and 36.15 μA, respectively. Besides, the maximum output power density achieved was 1.323 mW cm⁻², which is 13 times the electrical output of the TENG based on the carbon cloth and PTFE film. This study demonstrates the promising potential of a novel TENG for wearable electronics.

In recent years, triboelectric nanogenerators (TENGs) have been increasingly attracting attention owing to the ability for converting multiple mechanical energy into electricity. In this paper, we first propose a multifunctional conductive copper tape-based TENG (CCT-TENG) that is constructed completely using one piece of conductive copper tape. The triboelectric pairs, supporting structure, and conductive electrode were composed using bottom paper, silicone oil, and copper foil, all of which came from one roll of conductive copper tape. The approximate output power density of the CCT-TENG reached 240.1 μW/cm¹. By spraying the aqueous solution of LiCl onto the surface of the bottom paper, a CCT-TENG incorporating LiCl was fabricated and used as a self-powered active sensor to detect the relative humidity (RH) of the environment. The obtained results revealed that the humidity sensor had good humidity response, response linearity, and reversibility. In addition, the RH was reflected by the brightness of light-emitting diodes (LEDs) that was driven by the humidity sensor. This paper realizes a promising, affordable, and portable integration of power supply systems and sensing systems, which can promote the application of TENG in the field of electronic detection device and environment monitoring.

This article presents a wideband balanced variable-gain low-noise amplifier (VG-LNA) implemented in a 55-nm CMOS process. The proposed LNA has two cascode stages with an interstage matching transformer to constitute a fourth-order magnetically coupled resonator with two resonant peaks. The frequency-selective gain equalization technique is proposed to compensate for the gain variation of interstage dual-resonant tanks. This VG-LNA leverages a current-steering technique to realize a phase-invariant 18-dB tunable gain range with a measured input 1-dB gain compression point (IP1 dB) at 9 GHz from -12.2 to -5 dBm. The LNA achieves a power gain of 20.2 dB with ±0.5-dB gain variation and a noise figure (NF) of 3.26 dB from 6.5 to 12 GHz. Due to the lumped Lange couplers, the input and output matching are both better than -14 dB. This chip occupies 1.44 x 0.68 mm² area excluding pads and consumes 75 mW.

A disposable and ecofriendly starch paper was used to fabricate a triboelectric nanogenerator (TENG) for the sensing of human perspiration. Using cost-effective and commercially accessible materials, the starch paper-based TENG (S-TENG) can be achieved through a rapid and simple fabrication method. The output performance varies with the absorbed water content, which can be utilized for human perspiration sensing. The starch structure can be broken down in water within 4 min. The proposed S-TENGs have a considerable potential in the field of green wearable electronics.

One-bit radar, performing signal sampling and quantization by a one-bit ADC, is a promising technology for many civilian applications due to its low-cost and lowpower consumptions. In this paper, problems encountered by one-bit LFMCW radar are studied and a two-stage target detection method termed as the dimension-reduced generalized approximate message passing (DR-GAMP) approach is proposed. Firstly, the spectrum of one-bit quantized signals in a scenario with multiple targets is analyzed. It is indicated that highorder harmonics may result in false alarms (FAs) and cannot be neglected. Secondly, based on the spectrum analysis, the DR-GAMP approach is proposed to carry out target detection. Specifically, linear preprocessing methods and target predetection are firstly adopted to perform the dimension reduction, and then, the GAMP algorithm is utilized to suppress high-order harmonics and recover true targets. Finally, numerical simulations are conducted to evaluate the performance of one-bit LFMCW radar under typical parameters. It is shown that compared to the conventional radar applying linear processing methods, one-bit LFMCW radar has about 1:3 dB performance gain when the input signal-to-noise ratios (SNRs) of targets are low. In the presence of a strong target, it has about 1:0 dB performance loss.