In this letter, we propose an optimization based method for joint anchor deployment and power allocation for achieving high-accuracy localization in the wireless network, where we aim at minimizing the localization error bound under a given sensor number and a fixed power budget. By exploiting squared position error bound as the localization metric, the problem is formulated into a mixed boolean second order cone programming, and is then solved by binary particle swarm optimization. Finally, the proposed algorithm is validated by numerical simulations.
This Letter presents a compact and lightweight terahertz detector with a 3D-printed lens packaging, exhibiting a high responsivity between 1100 and 2190 V/W from 210 to 230 GHz. The detector is comprised of an antenna-coupled detector, a 3D-printed lens and a read-out circuit. The antenna-coupled detector with a GaAs Schottky diode is printed on a dielectric laminate. To extract the detected signal more efficiently within a smaller footprint, a pair of folded lines with high impedance are designed. Moreover, a 3D-printed nylon lens together with a back-shorting reflector is proposed for radiation gain enhancement and mechanical robustness. A maximum voltage responsivity Rv of 2190 V/W and a minimum noise equivalent power of 2.6 pW/√Hz are achieved at 223 GHz. The measured radiation patterns agree well with the simulated results.
The directional optimization correction (DOC) method is proposed to reduce the performance error between desired and fabricated terahertz (THz) devices. Three 340 GHz terahertz filters with a bandwidth of 20 GHz are designed and fabricated. The traditional global optimization correction (GOC) method and the proposed DOC method are used to optimize and reduce the performance error, respectively. It is garnered that the center frequency error and bandwidth error of the fabricated terahertz filter optimized by the GOC method are reduced to 3.5 GHz (~1.03%) and 2.2 GHz (~11%), respectively. Meanwhile, the center frequency error and bandwidth error of the fabricated terahertz filter optimized by the DOC method are reduced to 0.2 GHz (~0.06%) and 0.4 GHz (~2.0%), respectively, which has fewer optimization parameters and higher accuracy than the GOC method. Furthermore, the in-band return loss (RL) of two optimized terahertz filters based on the DOC and GOC methods is less than 15 dB, and the in-band insertion loss (IL) is less than 2.3 dB.
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