https://journal.diginus.id/DANI <p><strong>Digital Applications in Networking and Informatics (DANI)</strong> is a journal focused on information systems, the Internet of Things, artificial intelligence, electrical engineering, computer science, telecommunications, and related fields. Specifically, authors can select their area of expertise and focus on a particular field; within information systems, they can choose web programming, management information systems, databases, computer networks, and information system security, as well as system analysis and design. In the Internet of Things, authors can choose Hardware &amp; Embedded Systems; Networks &amp; Communications—such as selecting communication protocols for IoT like MQTT, CoAP, HTTP, or WebSocket; using wireless devices like WiFi, Bluetooth, ZigBee, LoRa, NB-IoT, LTE-M, or 5G; or researching 6G development—as well as Programming and Software, Cloud &amp; Data Management, and IoT Security. The following are several fields of artificial intelligence (AI), including machine learning (ML), deep learning (DL), natural language processing (NLP), computer vision (CV), robotics &amp; AI, knowledge representation &amp; reasoning, planning &amp; optimization, data science &amp; analytics, AI ethics &amp; governance, AI infrastructure &amp; MLOps, and generative AI, as well as domain-specific AI applications such as AI for healthcare, AI for finance, AI for education, AI for agriculture, and AI for cybersecurity. Next are electrical engineering, computer science, and telecommunications; also satellite technology, key GNSS segments, earth observation, remote sensing, astrophysics, GNSS based on applications, GNSS data processing, SBAS/ GBAS, Space weather, ionosphere, satellite navigation and positioning. authors may submit research articles covering all related subfields in detail.</p> <p><br />Digital Applications in Networking and Informatics (DANI) Published six times a year: in <strong>January, March, May, July, September, and November.</strong></p> en-US puput.danny4@gmail.com (Dr. Eng. ir. Puput Dani Prasetyo Adi) jparenreng@unm.ac.id (Dr. Eng. Jumadi Mabe Parenreng) Sat, 30 May 2026 00:00:00 +0000 OJS 3.3.0.13 http://blogs.law.harvard.edu/tech/rss 60 https://journal.diginus.id/DANI/article/view/877 <p>Signal processing is at the heart of modern radar system functionality, enabling the accurate extraction of target information in environments filled with clutter and noise. This article presents a comprehensive review of the evolution and current state of radar signal processing techniques, ranging from fundamental principles to cutting-edge innovations. The discussion begins by dissecting the basic framework of data processing, including waveform design, pulse compression, and processing of the radar data cube. We evaluate classical detection algorithms such as Constant False Alarm Rate (CFAR) and super-resolution parameter estimation techniques. Furthermore, this article examines advancements in array processing, particularly in Multiple-Input Multiple-Output (MIMO) systems and Space-Time Adaptive Processing (STAP), which are crucial for mitigating complex interference. A key part of this review highlights the integration of Machine Learning and Deep Learning into cognitive radar schemes, as well as the emergence of Compressive Sensing technology for data efficiency. We also explore new paradigms such as radar-communication convergence (RadCom) within the 6G ecosystem and the potential of quantum radar. In conclusion, this article identifies open challenges, including interference management in automotive radar and the need for real-time computation for targets with low Radar Cross Section (RCS), to provide strategic guidance for future research.</p> Tjahjo Adiprabowo Copyright (c) 2026 Sakura Digital Nusantara https://journal.diginus.id/ https://journal.diginus.id/DANI/article/view/877 Sat, 30 May 2026 00:00:00 +0000