2728 results about "Doppler us" patented technology

The approach presented here relates to an analysis device (100) for analyzing a viscosity of a fluid (217). The analysis device (100) comprises a detection device (110) and a provisioning device (115). The detection device (110) is formed to determine the viscosity of the fluid (217) using at least one Doppler parameter of a Doppler spectrum of the fluid (217). The provisioning device (115) is formed to provide or transmit a viscosity signal that represents the viscosity determined by the detection device (110).

The invention relates to a method for determining a flow rate of a fluid flowing through an implanted vascular assist system (1), said method comprising the following steps: a) carrying out a first pulsed Doppler measurement at a first pulse repetition rate by means of an ultrasonic sensor (2) of the assist system (1); b) carrying out a second pulsed Doppler measurement at a second pulse repetition rate by means of the ultrasonic sensor (2) of the assist system (1), wherein the second pulse repetition rate differs from the first pulse repetition rate; c) determining the flow rate using measurement results of the first pulsed Doppler measurement and the second pulsed Doppler measurement.

The invention relates to a method for determining at least a flow velocity or a fluid volume flow (5) of a fluid flowing through an implanted vascular support system (1), comprising the following steps: a) carrying out a pulsed Doppler measurement by means of an ultrasonic sensor (2) of the support system (1), b) evaluating a measurement result from step a), which has a possible ambiguity, c) providing at least one operating parameter of a flow machine (3) of the support system (1), d) determining at least the flow velocity or the fluid volume flow (5) using the measurement result evaluated in step b), wherein the possible ambiguity of the measurement result is corrected using the operating parameter.

The invention relates to the technical field of inertial assistance, in particular to a Beidou high-precision space-time reference dynamic compensation system based on inertial assistance, which is characterized in that an inertial measurement unit module is used for measuring original measurement data, and the original measurement data comprises a carrier phase and a Doppler observation value; the processing unit module is used for fusing the inertial measurement unit, executing real-time environment perception and dynamic modeling, classifying an operation environment and predicting error characteristics; performing an adaptive robust fusion filtering algorithm that dynamically adjusts filter parameters and switches a filter model to estimate the position and attitude of the carrier; and in combination with radio wave precision single-point positioning enhancement service, super-tight combination signal tracking and integrity monitoring are realized, an estimated inertial assistance system state is fed back to a tracking loop of the multi-frequency Beidou receiving module, and real-time fault detection is performed on original measurement data.

The invention relates to a method for determining a flow rate of a fluid flowing through an implanted vascular assist system, said method comprising the following steps: a) carrying out a first pulsed Doppler measurement at a first pulse repetition rate by means of an ultrasonic sensor of the assist system; b) carrying out a second pulsed Doppler measurement at a second pulse repetition rate by means of the ultrasonic sensor of the assist system, wherein the second pulse repetition rate differs from the first pulse repetition rate; c) determining the flow rate using measurement results of the first pulsed Doppler measurement and the second pulsed Doppler measurement.

A method and system for determining a regional weakening (RW) value in a blood vessel using ultrasonic imaging. A set of images of a portion of a given patient's body collected over time is received. A set of measurements representing the movement of the tissue of the blood vessel is received, and the set of measurements is determined based on the set of images. The movement of the wall and lumen at least partially indicates strain. A blood flow velocity value in the blood vessel is determined based on a Doppler image, and an RW parameter indicating the state of weakening in a region of the blood vessel is determined based on at least the set of measurements, thrombus burden, and blood flow velocity value. A map showing the circumference of the blood vessel including the regional weakening value and the strain value may be displayed.

The invention relates to an anti-deception-interference joint detection method and system based on space-time frequency, and the method comprises the steps: obtaining a signal source direction of a received satellite signal, and dividing the signal source direction into channels according to angles based on a beam forming criterion; based on a preset capture rule, initiating capture search for the signal in each channel, and synchronously performing correlation peak detection and array antenna anti-interference detection on the signal to obtain angle information of the signal in each channel and satellite PRN information in the capture process; null processing is carried out on the signal source directions of two or more satellite signals appearing at the same angle; outputting a capture result based on the capture rule, and tracking the capture result conforming to the capture rule; doppler frequency shift consistency detection and signal power calculation are carried out on the signals subjected to rotation tracking, and deception signals are recognized and fed back to the antenna array for filtering processing. The application has the effects of expanding the application range of the anti-deception jamming detection method and improving the anti-jamming capability of navigation positioning.

The invention discloses an underwater propeller control method and system based on water body environment analysis. The method comprises the following steps: acquiring image data and laser point cloud data of a target water body, and constructing a three-dimensional environment model; initial position information and a target position of the underwater propeller are obtained, and a working path is generated based on environment model analysis; doppler sonar data on a path are collected, water flow information is analyzed, and a deviation correction control instruction is generated; and the instruction transmission quality is analyzed, and an optimal transmission scheme is determined. According to the method, dynamic modeling and analysis of a complex water body environment are realized by fusing multi-source environment sensing data, the path planning precision and autonomous control capability of the underwater propeller are improved, and the method is suitable for precise navigation and dynamic obstacle avoidance scenes in complex underwater operation tasks.

The invention discloses a space-variant self-focusing imaging method for a missile-borne synthetic aperture radar sea surface moving target. The method comprises the following steps: acquiring a radar fundamental frequency echo signal; performing range pulse pressure and range migration correction on the radar fundamental frequency echo signal to obtain a correction signal, and further obtaining a coarse focusing radar image; extracting a single defocusing target image in the coarse focusing radar image, and inverting the single defocusing target image to an echo data domain to obtain data of single target energy; performing correction to obtain data after correction of the residual range walk; selecting a part of distance units from the data after the residual range walk is corrected, performing Doppler frequency modulation rate estimation on the selected part of distance units by adopting fractional Fourier transform, fitting the estimated Doppler frequency modulation rate by adopting a space-variant phase error model, and constructing a space-variant phase error compensation function of the target; and compensating the data after the correction of the residual range walk, and imaging. According to the invention, the refocusing effect of the moving ship target can be improved.

The invention discloses a medical ultrasonic image intelligent processing method and system, and relates to the technical field of medical image.According to the main scheme, normal feature coordinates of different organs and tissues are calculated by obtaining normal ultrasonic image data, to-be-processed image data and historical medical record information of a patient; extracting coordinates of a to-be-detected image and comparing the coordinates with normal coordinates for preliminary judgment; performing secondary judgment by combining ovality and circularity; setting a lesion gray threshold to judge whether a lesion exists or not; calculating the size of a lesion area when the lesion exists; according to the method and the system, the comprehensive blood flow evaluation index is calculated in combination with color Doppler blood flow imaging data, the disease evaluation value is calculated according to known medical record data and the like, the disease level is judged, the diagnosis report is automatically generated, the accuracy and the efficiency of medical ultrasonic diagnosis are improved, and powerful support is provided for clinical diagnosis.

The invention relates to the field of ocean conductivity data processing, and discloses an Argo conductivity data correction method based on the influence of thermohaline internal waves, which comprises the following steps: installing a thermohaline depth sensor and an acoustic Doppler flow velocity profiler on an Argo buoy, sampling seawater in the vertical direction, and calculating the depth of the sampled seawater; acquiring temperature, salinity and flow velocity profile data of seawater; determining the upper and lower boundary depths of the thermohalocline and the thickness of the thermohalocline according to the acquired data, calculating the internal wave frequency and the internal wave number, and calculating the temperature internal wave amplitude, the salinity internal wave amplitude, the temperature internal wave phase and the salinity internal wave phase; establishing a conductivity data correction model according to the calculated parameters; and performing dynamic correction on the conductivity data by using the model. According to the method disclosed by the invention, the accuracy and the reliability of conductivity data can be remarkably improved, and support can be provided for research in many fields such as research on physical characteristics of the ocean thermocline and halocline, ocean ecological environment and ocean material circulation.

The invention belongs to the technical field of ocean data processing, and discloses a GNSS-R and scatterometer combined same-orbit time sequence sea surface wind speed inversion method and system, and the method comprises the following steps: obtaining historical satellite data of ocean surface wind, carrying out the preprocessing of the historical satellite data, and obtaining the preprocessed data, constructing a training sample set in combination with the reference wind speed and the surge auxiliary data; constructing an initial wind speed inversion model by using a plurality of single-moment multi-frequency information fusion modules and multi-moment interactive attention enhancement modules, and training the initial wind speed inversion model by using the training sample set to obtain a same-orbit time sequence sea surface wind speed inversion model; and obtaining a time delay-Doppler correlation power diagram, GNSS-R observation parameters, scatterometer parameters and effective wave height of storm and surge, and completing sea surface wind speed inversion by using the same-orbit time sequence sea surface wind speed inversion model to obtain sea surface wind speed prediction data.

The invention relates to the technical field of fluid measurement, in particular to a multimode signal fusion and self-adaptive processing ultrasonic flowmeter and a measuring method. The multimode signal fusion and self-adaptive processing ultrasonic flowmeter comprises an ultrasonic transducer, a signal generation driving module, a signal receiving and conditioning module, a control module, a signal processing module, a signal quality evaluation module and a sound velocity calculation and compensation module. According to the method, the time difference method and Doppler method signals are fused, the self-adaptive processing strategy is adopted to improve the measurement precision of the low-flow-velocity fluid and the impurity-containing fluid, the measurement precision of the low-flow-velocity fluid can be remarkably improved, the adaptability to complex fluid is enhanced, the overall measurement reliability is improved, the Doppler method precision is optimized, and the intelligent degree is high.

The invention discloses a laser radar test method based on a long-distance target distance measurement result, and the method comprises the following steps: obtaining a laser radar echo signal, and extracting the frequency spectrum information of the echo signal; doppler frequency shift characteristic parameters are extracted according to the frequency spectrum information, and the relative speed of the target is calculated based on a preset frequency shift calculation model; acquiring multi-source sensor data associated with the laser radar test platform, and fusing to construct a dynamic ranging reference coordinate system; performing dynamic motion compensation on a laser ranging result according to the relative speed of the target to obtain a target initial measurement distance after Doppler correction; mapping the target initial measurement distance after Doppler correction to the dynamic distance measurement reference coordinate system to obtain a remote target final distance measurement result aligned with a test platform coordinate system; and outputting the accurate position and moving state information of the target in the three-dimensional space according to the final distance measurement result. According to the invention, the ranging precision and stability can be improved.

The invention discloses a multipath ghosting suppression method for a millimeter-wave radar tunnel scene, which is applied to the field of millimeter-wave radar target detection and aims to solve the problem of poor multipath ghosting suppression effect in the tunnel scene in the prior art. The method comprises the following steps: firstly, constructing a confidence criterion by using multi-dimensional information point cloud data generated by radar original echoes, and performing density-based clustering on the point cloud data; performing linear fitting on the zero Doppler point cloud to obtain slope information of the tunnel wall, matching the slope of the perpendicular bisector of the dynamic point cloud pair with the slope set, and judging the target pair with lower confidence in the successfully associated target pair as a multipath ghosting; and finally, in consideration of motion characteristics of targets in the tunnel and a multipath reflection geometric model, performing transverse and longitudinal double-rectangular region division on the dynamic point cloud, performing Doppler information constraint on point cloud data in the region, and screening out the targets which meet conditions and are relatively low in confidence coefficient and judging the targets as multipath ghosts. According to the invention, vehicle targets in a semi-closed environment can be detected, and multipath ghosts generated by reflection of tunnel walls, handrails and the like can be effectively identified and inhibited while real targets are reserved.

The invention provides an underwater ultrasonic Doppler real-time analysis method and device based on a digital transducer, and relates to the technical field of data analys.The method comprises the steps that 1, multiple beams of directional ultrasonic waves are emitted into drilling fluid through a digital transducer array on the outer wall of a marine riser, echo signals reflected by gas-liquid two-phase flow are received, and the digital transducer array is used for receiving the echo signals; performing real-time digital conversion on the echo signal to generate an original digital signal containing phase and amplitude information; 2, Doppler frequency shift feature extraction is conducted on the original digital signals, and the real-time movement speed and direction of bubbles in the drilling fluid are determined by calculating the frequency deviation of reflected ultrasonic waves and transmitted ultrasonic waves. Through the digital transducer array and the ultrasonic Doppler technology, accurate measurement of motion parameters of bubbles in drilling fluid, real-time calculation of local gas content and early warning and grading response of gas cut are achieved, and the safety and the intelligent level of drilling operation are improved.

The invention relates to the technical field of air target prediction, in particular to an air target trend prediction method, which comprises the following steps: S1, multi-source heterogeneous data adaptive fusion filtering processing; s2, manifold learning is constructed in the high-dimensional spatial-temporal feature space; s3, performing semantic modeling on the dynamic behavior pattern recognition intention; and S4, multi-dimensional threat situation assessment warfare area modeling is carried out. According to the method, high-precision space-time synchronization and noise suppression of radar sensor data, infrared sensor data and other sensor data are achieved through the multi-source heterogeneous data self-adaptive fusion filtering technology, target micro-Doppler features are effectively reserved, missing data are repaired, and through the combination of third-order Savitzky-Golay differential filtering and short-time Fourier transform, high-precision space-time synchronization and noise suppression of radar sensor data and infrared sensor data are achieved. An 18-dimensional compression feature space containing kinematics and electromagnetic characteristics is constructed, a nonlinear topological relation is reserved through t-SNE and an automatic encoder, the signal-to-noise ratio and feature expression capacity of original data are remarkably improved through the function, and a high-precision and low-redundancy input basis is provided for follow-up behavior recognition and prediction.

The invention relates to an unmanned aerial vehicle detection countering method, which comprises the following steps of: deploying a multi-dimensional sensing network to carry out full-band instantaneous scanning, synchronously acquiring noise characteristics of radio signals, material characteristics of a terahertz wave band and Doppler effect characteristics, mapping to a virtual twinborn body, reconstructing physical parameters, a communication protocol and a behavior mode of a target unmanned aerial vehicle, performing depth comparison by combining a disguise sample library generated by the antagonism generation network, and generating a holographic target file containing a three-dimensional motion vector, an energy feature and a potential threat intention; a target quantum encryption communication link is interfered through a quantum entanglement signal, a controllable plasma cloud cluster is generated, navigation and image transmission signals of the controllable plasma cloud cluster are selectively attenuated, the controllability of the target is judged, and an uncontrollable target is repelled through coded sound waves; and sending a control instruction containing a biological heuristic obstacle avoidance algorithm in stages, and guiding the control instruction to an intelligent recovery cabin. According to the invention, accurate detection, intelligent identification, safe countering and reliable takeover of the unmanned aerial vehicle are realized, and the airspace safety guarantee capability is improved.

The invention relates to a method for determining at least a flow velocity or a fluid volume flow of a fluid flowing through an implanted vascular support system, comprising the following steps: a) carrying out a pulsed Doppler measurement by means of an ultrasonic sensor of the support system, b) evaluating a measurement result from step a), which has a possible ambiguity, c) providing at least one operating parameter of a flow machine of the support system, d) determining at least the flow velocity or the fluid volume flow using the measurement result evaluated in step b), wherein the possible ambiguity of the measurement result is corrected using the operating parameter.

The invention discloses an FDA-MIMO radar multichannel coherent accumulation method based on distance-frequency offset compensation, and belongs to the technical field of radar moving target detection. The method comprises the following steps: obtaining an echo signal of a target by using a two-dimensional planar array FDA-MIMO radar; performing multi-channel matched filtering on the echo signal, and performing FFT (Fast Fourier Transform) at slow time to realize pulse accumulation; performing covariance matrix calculation to obtain a noise subspace and a signal subspace; searching an azimuth angle and a pitch angle of the target, and obtaining a distance-frequency offset coupling compensation vector based on characteristic decomposition; and performing multi-channel beam forming, performing coherent synthesis on multi-channel signal energy, and performing target detection by using a constant false alarm rate. According to the method, the output signal-to-noise ratio can be remarkably improved, the calculation complexity of coherent accumulation is reduced, and when an error exists in target distance estimation or a Doppler effect is generated by frequency offset, compared with a MUSIC algorithm, the method can obtain higher coherent accumulation gain.

The invention belongs to the technical field of radar signal processing, and discloses a radar scattering rapid test method based on polarization decomposition. Comprising the following steps: scanning a target 3D model, simulating scattered field distribution in different incident angles and polarization modes, calculating polarization contrast, and identifying a polarization sensitive area; establishing a dynamic coordinate system conversion model, fusing RTK data, IMU data and laser tracking data, and correcting the position of the trolley and the model in combination with a Doppler frequency shift model and a least square method; calculating an optimal test path of the trolley according to the sensitive area by adopting a natural heuristic optimization algorithm; establishing a geometric environment model, obtaining a back scattering signal through beam forming, analyzing a polarization coherence matrix, obtaining a high-entropy region, and decomposing scattering components; according to the method, closed-loop optimization is formed from a data acquisition source to a scattering component analysis tail end, and the test efficiency and the real-time performance are remarkably improved.

A method and apparatus are provided for processing a GNSS signal received at a receiver. The method comprises mixing a local carrier signal with samples of the GNSS signal to generate carrier-free signal samples. It further comprises: correlating the carrier-free signal samples with a local spreading code to generate a complex-valued correlation result; and wiping off at least one of the data bits from the complex-valued correlation result, to produce a data-free complex-valued correlation result. A carrier phase of the local carrier signal is controlled based on a Doppler estimate for the GNSS signal, wherein the Doppler estimate is based at least in part on inertial measurements made at the receiver.

The invention discloses an optical time stretching sweep frequency interference measurement Doppler effect compensation method and device, and relates to the technical field of non-cooperative target absolute distance measurement. In order to solve the defect that the absolute distance measurement precision is reduced due to the fact that the Doppler effect cannot be efficiently suppressed in a complex environment in the prior art, the technical scheme provided by the invention comprises the following steps: generating a sweep frequency laser signal and splitting the sweep frequency laser signal to form measurement light, reference light and resampling light; performing time stretching processing on the reference light to obtain a chirp signal; performing interference on measurement light and the chirp signal to obtain a measurement interference signal; performing interference on the reference light and the resampling light to obtain a reference interference signal; performing cross-correlation processing on the measurement interference signal and the reference interference signal, and extracting an optical path difference; and carrying out distance calculation by combining the resampling data, and outputting a target distance after the Doppler effect is compensated. The method is suitable for optical measurement work for performing high-precision absolute distance measurement on a non-cooperative target in a tiny vibration or disturbance environment.

The invention relates to the technical field of communication, and discloses a high-precision measurement method for radial velocity of a shallow sea underwater acoustic target based on ray sound field reconstruction. According to the method, a multipath channel joint resolving system is innovatively constructed for the problem that the target speed measurement precision is limited due to a shallow sea complex propagation environment. According to the system, a compound ray model of shallow sea multipath sound propagation is established, and a joint representation equation containing channel impulse response and target motion parameters is constructed by analyzing a time delay-Doppler coupling mechanism of three typical paths of direct waves, water surface reflected waves and water bottom reflected waves. Especially for the multipath interference effect in the shallow sea waveguide environment, the time-frequency domain separation criterion of each path signal is deduced, and a theoretical basis is laid for feature information extraction. The method provides a new technical means for underwater target tracking and positioning, underwater acoustic communication Doppler compensation and marine environment dynamic monitoring, and particularly has an important application prospect in the fields of underwater unmanned cluster collaboration and the like.

The invention provides an SAR deception jamming method and device based on distance and azimuth two-dimensional modulation, and relates to the technical field of radar signal processing. The method comprises the following steps: determining an SAR signal intercepted by a jammer according to a transmitting signal of the SAR and an instantaneous slope distance from the jammer to the SAR; an interference signal is determined according to the instantaneous slant range difference between the jammer and the target, the distance offset in the distance direction, the distance offset in the azimuth direction and the SAR signal intercepted by the jammer, and the interference signal comprises an active cancellation signal and a distance and azimuth two-dimensional modulation phase; carrier frequency removal processing is carried out on the echo signal received by the SAR, the echo signal after carrier frequency removal is obtained, and the echo signal received by the SAR is the sum of the interference signal and the target echo signal; and imaging the echo signal after carrier frequency removal by using a distance Doppler algorithm to obtain an echo signal after imaging processing, so that diversified interference effects can be achieved.

The invention provides a hemispherical resonator full spherical surface quality-rigidity combined trimming method and system, and belongs to the field of solid-state vibrating gyroscopes. The invention aims to solve the problem of low trimming efficiency caused by mass and rigidity coupling in the trimming frequency splitting process because etching is not carried out on a full-hemispherical shell in the existing trimming process of the hemispherical harmonic oscillator. A laser Doppler vibration meter is used for obtaining the low-frequency axis, high-frequency axis orientation and frequency splitting decomposition value of a hemispherical resonator, a focused ion beam is controlled to conduct rigidity fine adjustment on the positions of the four high-frequency axes in a high-latitude area, and quality-rigidity coupling fine adjustment is conducted on the positions of the four low-frequency axes in a low-latitude area. Etching on the full-hemispherical shell is realized, the quality and rigidity of the hemispherical harmonic oscillator can be decoupled, and the trimming efficiency of the hemispherical harmonic oscillator is improved; the mass and the rigidity are decoupled through mass-rigidity combined trimming, and the uniformity of the mass and the rigidity of the hemispherical resonator gyroscope is improved; the method has certain universality and can be popularized and used for mass rigidity trimming of harmonic oscillators in different shapes.

The invention discloses an off-network block sparse orthogonal matching pursuit underwater acoustic time delay Doppler domain channel estimation method, and belongs to the technical field of underwater acoustic channel estimation. The method solves the problems that a channel estimation method based on traditional orthogonal matching pursuit cannot estimate frequency shift parameters on non-grid points and is high in calculation complexity. According to the method, channel parameters of integer grid points are obtained based on a BOMP algorithm, and then residual Doppler factors on non-grid points are subjected to further fine estimation based on maximum likelihood criterion fitting. The problem that a traditional OMP channel estimation method in underwater OTFS communication can only estimate channel parameters on grid points is solved, and the estimation precision of channel frequency shift parameters is further improved by estimating frequency shift parameters on non-grid points; and meanwhile, a fractional order dictionary is prevented from being established in a channel parameter process, so that the system complexity is reduced to a certain extent. The method can be applied to underwater sound time delay Doppler domain channel estimation.

The invention relates to the technical field of laser radars, in particular to an obstacle detection method and system based on a frequency-modulated continuous wave laser radar, and the method comprises the steps: transmitting a chaotic frequency-modulated continuous wave signal to a detection region, and obtaining a reflection echo signal of a target object; performing decoupling calculation on the difference frequency electric signal to obtain a target time frequency distribution matrix; according to the target time-frequency distribution matrix, predicting the Doppler frequency shift amount of the target object at the next moment; based on the chaos frequency modulation adjustment signal, obtaining a distance measurement deviation compensation amount; the chaos frequency modulation adjustment signal is obtained by dynamically adjusting the chaos frequency modulation slope of the chaos frequency modulation continuous wave signal through the Doppler frequency shift amount; and compensating the difference frequency electric signal frequency value of the target object according to the distance measurement deviation compensation amount and the environmental noise data so as to solve obstacle distance speed detection information. According to the invention, the Doppler frequency shift amount is predicted in real time and the chaotic frequency modulation continuous wave signal parameters are dynamically adjusted, so that the accurate compensation of the distance measurement deviation is realized, and the accuracy of obstacle distance speed detection is improved.

The invention provides a concrete spraying rebound rate optimization decision-making method and a concrete spraying rebound rate optimization decision-making system. The method comprises the following steps: firstly, collecting and extracting time-frequency characteristics in a jet impact acoustic emission signal, collecting laser Doppler array measurement data in a concrete jet process to obtain concrete flow velocity distribution, then carrying out multi-source fusion processing on the time-frequency characteristics and the concrete flow velocity distribution, and extracting principal component characteristic vectors associated with springback; the method comprises the following steps: firstly, constructing a main component feature vector, then constructing a space velocity field model to obtain an identification result representing a concrete rebound state, then carrying out clustering analysis on the main component feature vector and the identification result, identifying a high rebound mode category and a low rebound mode category to generate a risk partition map, and finally, dynamically generating a jet parameter adjustment instruction by applying a self-adaptive control algorithm. Outputting a concrete rebound rate optimization decision scheme; according to the technical scheme provided by the invention, the problem of feature drift caused by space-time asynchronization of physical field data is solved, and the overall rebound rate prediction precision is greatly improved.

A hybrid time domain multiplexing (TDM) and frequency domain multiplexing (FDM) configuration protocol for a doppler-based ultrasound fetal monitoring system (FMS) is provided. In an example, a FMS determines context information regarding an operating context of the FMS, the context information comprising a number of fetal sensor devices (FSDs) activated for monitoring a corresponding number of fetuses of a single mother, wherein the FSDs respectively comprise ultrasound transducers configured to measure fetal parameters of a single fetus, and wherein each of the FSDs are configurable to operate using either the FDM mode or the TDM mode. The FMS further configures respective operating modes (i.e., FDM mode or TDM mode) of the FSDs based on the context information and in accordance with a configuration protocol that varies the respective operating modes (i.e., FDM mode or TDM mode) of the FSDs under different operating contexts of the FMS.