Abstract: The disclosure relates to a tank for storing volatile gas under pressure and a structure comprising the tank. The tank has a wall formed of a filament wound carbon fibre reinforced polymer (CFRP). The CFRP may have a graphene nanomaterial filler dispersed in the polymer adhesive matrix. The structure includes a frame for bearing static and dynamic forces from internal and external loads, the frame including the tank, the tank being an active load bearing structural element configured as a stressed member in the frame such that, in the structure in use, the tank bears static and dynamic forces from internal and external loads. One or more of: the filament winding pattern of the carbon fibre, the wall thickness, the wall shape, or the material properties of the polymer matrix including the dispersed graphene; is configured such that the tank has mechanical properties required by the design of the structure.

Abstract: A safety and arming device for a munition is operable to arm and initiate a munition dependent on determining separation from a munition platform, determining detection of free fall of the device for a first time period following separation, initiating a roll manoeuvre of the munition and determining detection of the execution of the roll manoeuvre within a second time period, and generating a munition firing signal, dependent on detection of all of separation, free fall, and the roll manoeuvre.

Abstract: All practical communication channels impose some type of corruption on received data through inter-symbol interference (ISI). ISI corruption is particularly acute in high-order constellation transmission. Although ISI effects of high-order constellation transmission are very large on average, some symbols may be received that suffer relatively low levels of ISI. These symbols are “reliable symbols” and can be used to provide blind estimation of the ISI coefficients. Once the ISI effects of a channel are known, all captured signals may be corrected.

Abstract: A fast equalization technique is disclosed for systems using high-order constellations where symbols have been corrupted by data correlated noise (ISI). The technique permits ISI estimation to begin immediately upon receipt of captured samples. Training symbols are not required for the operation of the equalization technique. ISI estimation is weighted in accordance to a reliability factor of each captured sample.

Abstract: All practical communication channels impose some type of corruption on received data through inter-symbol interference (ISI). ISI corruption is particularly acute in high-order constellation transmission. Although ISI effects of high-order constellation transmission are very large on average, some symbols may be received that suffer relatively low levels of ISI. These symbols are “reliable symbols” and can be used to provide blind estimation of the ISI coefficients. Once the ISI effects of a channel are known, all captured signals may be corrected.

Abstract: A finite-difference time domain (FDTD) accelerator includes a hardware circuit such as an FPGA having a plurality of one-dimensional bit-serial FDTD cells, a memory and a memory manager.

Abstract: A fast equalization technique is disclosed for systems using high-order constellations where symbols have been corrupted by data correlated noise (ISI). The technique permits ISI estimation to begin immediately upon receipt of captured samples. Training symbols are not required for the operation of the equalization technique. ISI estimation is weighted in accordance to a reliability factor of each captured sample.

Abstract: A fast equalization technique is disclosed for systems using high-order constellations where symbols have been corrupted by data correlated noise (ISI). The technique permits ISI estimation to begin immediately upon receipt of captured samples. Training symbols are not required for the operation of the equalization technique. ISI estimation is weighted in accordance to a reliability factor of each captured sample.

Abstract: All practical communication channels impose some type of corruption on received data through inter-symbol interference (ISI). ISI corruption is particularly acute in high-order constellation transmission. Although ISI effects of high-order constellation transmission are very large on average, some symbols may be received that suffer relatively low levels of ISI. These symbols are “reliable symbols” and can be used to provide blind estimation of the ISI coefficients. Once the ISI effects of a channel are known, all captured signals may be corrected.

Abstract: All practical communication channels impose some type of corruption on received data through inter-symbol interference (ISI). ISI corruption is particularly acute in high-order constellation transmission. Although ISI effects of high-order constellation transmission are very large on average, some symbols may be received that suffer relatively low levels of ISI. These symbols are “reliable symbols” and can be used to provide blind estimation of the ISI coefficients. Once the ISI effects of a channel are known, all captured signals may be corrected.