On a network-centric battlefield, all systems (platforms) interconnect nodes to provide mission-critical information to military personnel. This approach is driving the development of innovative integrated systems. The new military system helps meet emerging design needs through system integration, allowing each vehicle, each aircraft, each UAV, each ship, and each soldier to share data at almost all levels of military operations. Information, voice and video. Providing real-time information for the battlefield is the main focus of the current military system, and it is also an integral part of the successful completion of the combat mission and the survival of the soldiers.
These military applications require a solution that not only provides high performance, but also provides more control over complex ground and air communications while still being as lightweight as possible. One way to address this cyber warfare requirement is to design a military system using a multi-core digital signal processor (DSP) or multi-core processor. This approach addresses the challenges of miniaturization, lightweight, and low power (SWaP) while improving system functionality. System designers must consider multiple factors and performance requirements when designing these systems. Table 1 lists the five key metrics that designers must consider when choosing a processor.
Table 1: Important selection criteria for processors used in military systems
COTS's commercial off-the-shelf multi-core or multi-processor system-on-chip (SoC) provides designers with homogeneity (multiple DSPs in a single device) or heterogeneity (ARM in a single device) ® + DSP) solution options. Both solutions provide designers with the perfect combination of processing performance required to integrate multiple functions into a single system.
Figure 1: Texas Instruments KeyStone Multi-Core SoC Architecture
The architecture in Figure 1 is how a multi-core SoC works as a network infrastructure solution. The multicore in the SoC can be used as a coprocessor to implement different layers of the network. In addition, the SoC features internal shared memory and high-speed I/O to provide the memory and interprocessor bandwidth required for radar, sensors, military equipment, and UAV systems.
Both radar and sensor systems can take advantage of multi-core DSP SoCs. These applications take full advantage of multi-core parallel computing capabilities. In addition to radar, signal intelligence, and video surveillance, multi-core devices can be used in applications such as image stabilization, target tracking, flight control, and telemetry.
In addition, UAV is an area where you can gain advantage through system integration. For example, the most serious challenge for small UAVs is to improve functionality while reducing SWaP and achieve autonomous control of the UAV payload system. The term small UAV refers to a Class 2 or Class 3 UAV with a takeoff weight between 21 and 1320 pounds. The UAV system runs multiple applications such as telemetry, flight control, target acquisition, monitoring, weapon deployment, and communications. Current UAVs use a modular payload approach that quickly adds functionality to mission needs. A new generation of UAVs will enable the ability to move deployments without modifying the payload. This requirement requires adding more functionality to the UAV payload and lowering SWaP.
Today's UAV is deploying communications and computing subsystems. A new generation of UAVs should integrate a large number of subsystems on a unified computing architecture or board. The new generation of UAVs is designed to benefit from system integration supported on multi-core and multi-processor devices. The high processing performance and low power consumption provided by multi-core and multi-processor can meet the needs of power-limited systems. These power-constrained designs place more emphasis on unit-powered GFLOP or MIPS performance supported by multiple cores and multiple processors, rather than pure device raw performance. The unit power consumption GFLOP or MISP currently supported by COTS multi-core or multi-processor can fully meet the needs of military systems.
In addition, UAV end users need more autonomous control capabilities, which is a higher demand for higher capabilities to return intelligence from onboard video, radar, infrared cameras, and sensors to the base. The return of intelligence collected by UAV is a challenging task. The link bandwidth back to the base is limited, which means that the UAV itself must handle most of the sensor, radar and video capture information. For example, the video system should only capture the content of the area of ​​interest and delete other images that are useless. After video capture, the information should be transmitted through a high-quality codec that preserves image quality and minimizes bandwidth usage. Multi-core or multi-processor implementations provide the advantage of a unified processing board for multiple sensors and antennas. At the same time, it also reduces the number of electronic boards in the UAV. The use of these multi-core and multi-processor SoCs brought about by such system integration can help the development of other unmanned weapon systems. The high flexibility of multi-core or multi-processor systems enables applications that deploy the same underlying hardware platform in different aircraft.
In addition to radars, sensor systems, and UAVs, man-portable military equipment and handheld systems can also benefit from multi-core or multi-processor system integration. For portable military military handheld devices, SWaP is critical. This kind of system must be small and lightweight, so that soldiers can carry it with them. System power consumption must be low enough to operate on the battery for 6 to 12 hours. Software Defined Radio (SDR) for military-owned military equipment can also benefit from multi-core integration. One implementation of SDR is to use a general purpose processor (GPP) with a DSP. SDR can use SoC to reduce overall system size and power consumption. Another example is that SDR uses multiple DSPs to support multiple complex military waveforms.
A new generation of network-centric systems poses a serious challenge to the field of embedded computing. Current multi-core SoCs and multi-processors help designers address the processing power, communication bandwidth, SWaP, and wireless communication needs of next-generation military systems. These features ensure that all soldiers receive and use higher-resolution, higher-precision information, and faster access times than ever before can help them make faster, current, and foreseeable futures based on a full understanding of the situation. Decision making.
About the author
Hector Rivera is a mission-critical marketing manager for communications infrastructure products at Texas Instruments, where he is responsible for TI's mission-critical customer development and support, as well as multi-core DSP strategy support.
Prior to serving as a mission-critical application marketing manager, he served as application manager for TI HiRel's product division, and subsequently moved to a business development position to develop embedded processor application strategies and plans. During this time, Rivera's role was to ensure that TI products support aerospace and military applications, including software-defined radios, sensors, and smart weapon ammunition.
Rivera joined TI in 2002 as a Section Manager for Semiconductor Products. As a classification manager, he is responsible for strengthening TI's product, software and technology classifications in accordance with export management regulations. During this time, he developed a rapid and comprehensive product technology control response process to ensure TI operations meet regulatory requirements.
Rivera has 21 years of experience in the military and government sectors. He studied at George Mason University and the University of Puerto Rico, respectively, and obtained MSEE and BSEE.
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