نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناسی ارشد،دانشگاه جامع امام حسین (ع)، تهران، ایران
2 استادیار،دانشگاه جامع امام حسین (ع)، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
With the increasing demand for high data rate and the abundant capabilities of drones, creating links based on millimeter waves can be very beneficial. Due to the high path loss, in such channels, the number of cluster-paths received from the transmitter at the receiver is low and the channel is sparse and can be estimated using compressed sensing algorithms. In this paper, first, the modeling of the millimeter wave drone channel with a massive multiple-input multiple-output system and its specific features will be discussed, then the performance of two algorithms from the set of compressed sensing methods for channel estimation will be investigated. The first algorithm is based on optimization theory and the second algorithm is from the greedy family. As will be shown in the simulations, the SPC algorithm, which is one of the greedy methods, shows 1598 times faster performance for estimating the drone channel than AGDAR, which is one of the optimization algorithms, while its performance is slightly lower than AGDAR. In other words, by comparing the error rate of the two algorithms, it is concluded that SPC can be used for channel estimation with an acceptable trade-off.
کلیدواژهها [English]
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