MathWorks Bluetooth® Toolbox enables you to simulate, analyze, and test Bluetooth communications systems by modeling both links and networks. With the toolbox, run bit error rate and packet error rate simulations on those links. Configure piconets and mesh networks and assess their performance in the presence of WLAN interference. Create localization and LE audio scenarios and evaluate performance with a variety of impairments.
Generate all waveforms specified by the Bluetooth core specification: Bluetooth Low Energy (LE) and Bluetooth Classic. Use these waveforms as golden references when verifying transceiver chips.
Simulate end-to-end Bluetooth Classic and LE links with a variety of path loss models and multiple RF impairments. These simulations include reference receiver designs that correct all impairments. Calculate BER and PER for these links to assess the effectiveness of the receiver algorithms.
Run physical layer transmitter and receiver tests that replicate the test conditions specified by the Bluetooth standard. Also, use software-defined radios to perform over-the-air tests that verify Bluetooth transceiver performance in real-world conditions.
Use Bluetooth Toolbox with WLAN Toolbox™ to configure a WLAN signal to interfere with a Bluetooth signal. Then determine the effectiveness of Bluetooth adaptive frequency hopping in to avoid the WLAN interference.
Use angle of arrival and angle of departure techniques to determine the position of a Bluetooth node moving in 2D or 3D space.
Model Bluetooth mesh networks. Configure the managed flooding algorithm to determine energy usage, network critical paths, and throughput.
Configure a spatially aware Bluetooth LE Audio scenario that accounts for path losses through walls and floors. Determine the impact of WLAN interference on the packet delivery ratio of the LE Audio network.
Bluetooth physical layer processing
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Generate, decode, and visualize Bluetooth waveforms. Use the
bluetoothWaveformGeneratorandbluetoothIdealReceiverfunctions for Bluetooth BR/EDR waveforms and thebleWaveformGeneratorandbleIdealReceiverfunctions for Bluetooth LE waveforms. For an example showing how to generate and visualize Bluetooth LE waveforms with different physical layer (PHY) modes, see Bluetooth LE Waveform Generation and Visualization. -
To compute the Bluetooth BR/EDR or LE packet duration given the type of Bluetooth packet, the specified PHY transmission mode, and the payload length, use the
bluetoothPacketDurationfunction. -
The PHY features of the toolbox enable you to add radio frequency (RF) impairments and path loss to the generated Bluetooth waveforms. For examples showing how to add RF impairments and path loss to generated Bluetooth waveforms, see Generate Bluetooth LE Waveform and Add RF Impairments and Generate and Attenuate Bluetooth BR/EDR Waveform in Industrial Environment, respectively.
For more information, see PHY Modeling.
Coexistence modeling between Bluetooth and WLAN
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You can model, simulate, and visualize noncollaborative coexistence between Bluetooth and WLAN and mitigate interference by using adaptive frequency hopping (AFH). See the following examples.
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Noncollaborative Bluetooth LE Coexistence with WLAN Signal Interference — This example shows how to simulate Bluetooth LE coexistence with WLAN signal interference. Add WLAN signal interference from a baseband file or by using WLAN Toolbox™ features. You can also add a custom channel selection algorithm.
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PHY Simulation of Bluetooth BR/EDR, LE, and WLAN Coexistence — This example performs PHY simulation to model homogenous and heterogeneous noncollaborative coexistence between Bluetooth BR/EDR, LE, and WLAN. Perform AFH by classifying the channels as good or bad and compute the bit error rate (BER) and signal-to-interference plus noise ratio (SINR).
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End-to-End Bluetooth BR/EDR PHY Simulation with WLAN Interference and Adaptive Frequency Hopping — This example performs an end-to-end Bluetooth BR/EDR simulation and computes the BER and packet error rate (PER) values of the Bluetooth BR/EDR waveforms in the presence of WLAN interference with AFH and basic frequency hopping.
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Bluetooth Full Duplex Data and Voice Transmission in MATLAB — This example shows how to model and simulate a full duplex communication in a Bluetooth piconet with WLAN interference and with support for AFH. You can compute the PER of each Bluetooth node in the presence of WLAN interference and with AFH. Additionally, you can add your own channel classification algorithm to analyze the simulation results.
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Select Bluetooth LE channel index for connection, periodic advertising, and isochronous events by using the
bleChannelSelectionSystem object™. For an example showing how to select Bluetooth LE channel index, see Bluetooth LE Channel Selection Algorithms. -
Generate Bluetooth BR/EDR hopping sequence for inquiry, paging, and connection procedures by using the
bluetoothFrequencyHopobject.
For more information, see Coexistence Modeling.
Bluetooth location and direction-finding and ranging capabilities
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Estimate the angle of arrival (AoA) or angle of departure (AoD) by using the
bleAngleEstimatefunction. To parameterize this function, use thebleAngleEstimateConfigconfiguration object and the associated object functions. For more information about AoA and AoD direction finding capabilities, see Bluetooth Location and Direction Finding and Parameterize Bluetooth LE Direction Finding Features. -
Estimate the range between two Bluetooth BR/EDR or LE devices by using the
bluetoothRangefunction. Use thebluetoothRangeConfigobject to parameterize this function. -
The
bleCTEIQSamplefunction enables you to perform in-phase and quadrature (IQ) sampling on the constant tone extension (CTE) field of the Bluetooth LE packet. Using this function, you can estimate the AoA and AoD between the Bluetooth LE transmitter and receiver. -
To estimate the position of a Bluetooth LE node, use the
blePositionEstimatefunction. The Bluetooth LE Positioning by Using Direction Finding reference example enables you to estimate the 2-D or 3-D position of a Bluetooth LE node by implementing Bluetooth direction finding functionality and the triangulation-based location estimation technique. You can measure the positioning accuracy of the Bluetooth LE node related to the bit energy-to-noise density ratio (Eb/No). -
The Bluetooth LE Direction Finding for Tracking Node Position example shows how to track the Bluetooth LE node position by using Bluetooth direction finding functionalities and position estimation techniques. Simulate the direction finding packet exchange in the presence of radio frequency (RF) front end impairments, path loss model, and additive white Gaussian noise (AWGN) and measure the positioning accuracy at each node position.
For more information, see Localization.
Bluetooth transmitter and receiver testing and support for software-defined radio (SDR)
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The
bluetoothRFPHYTestConfigobject enables you to set Bluetooth LE RF-PHY transmitter and receiver test configuration parameters based on RF-PHY.TS.p15. -
Generate Bluetooth BR/EDR or LE test waveforms by using the
bluetoothTestWaveformfunction. The function supports all the PHY transmission modes of Bluetooth BR/EDR and LE. To parameterize this function, use thebluetoothTestWaveformConfigobject. -
These reference examples show how to perform RF tests on Bluetooth BR/EDR waveforms.
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These reference examples show how to perform RF-PHY tests on Bluetooth LE waveforms.
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You can generate, transmit, and receive Bluetooth BR/EDR and LE waveforms by using the ADALM-PLUTO radio. For more information, explore these examples.
For more information, see Test and Measurement.
Link-level simulation and analysis in the presence of RF and channel impairments
The toolbox provides reference examples that enable you to perform end-to-end Bluetooth BR/EDR and LE simulation.
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You can evaluate and analyze the link-level performance in the presence of RF impairments, path loss, and WLAN interference. For more information, see these examples.
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Compute PER and BER for the Bluetooth BR/EDR and LE waveforms. For examples showing how to compute PER and BER, see Bluetooth LE Bit Error Rate Simulation with AWGN and End-to-End Bluetooth BR/EDR PHY Simulation with AWGN, RF Impairments and Corrections.
For more information, see End-to-End Simulation.
Multinode communication in Bluetooth mesh, piconet, and LE Audio networks
Use these features and reference examples to simulate multinode communication in Bluetooth mesh, piconet, and LE Audio networks.
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The
bluetoothLENodeobject and the associated object functions enable you to create and configure a Bluetooth LE node. Configure a link layer (LL) connection between a Bluetooth LE Central and Peripheral by using thebluetoothLEConnectionConfigobject and the associated object function. For more information, see the Create, Configure, and Simulate Bluetooth LE Network example. -
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bluetoothMeshProfileConfigobject enables you to configure mesh profile parameters at a Bluetooth LE node based on Bluetooth Mesh Profile v1.0.1. To establish friendship between a Friend node and a Low Power node (LPN) in a Bluetooth mesh network, use thebluetoothMeshFriendshipConfigobject and the associated object function. For more information, see Bluetooth Mesh Flooding in Wireless Sensor Networks and Energy Profiling of Bluetooth Mesh Nodes in Wireless Sensor Networks examples. -
Use the
bluetoothLEBIGConfigobject to set broadcast isochronous group (BIG) configuration parameters between a Bluetooth LE isochronous broadcaster and a synchronized receiver. For more information, see the Create, Configure, and Simulate Bluetooth LE Broadcast Audio Network example.The Estimate Packet Delivery Ratio of LE Broadcast Audio in Residential Scenario example shows how to estimate the packet delivery ratio (PDR) of Bluetooth LE audio isochronous broadcast streams in a residential scenario. You can add WLAN interference and a custom path loss model to the wireless channel and explore the PDR performance of the LE audio broadcast network. The example enables you to visualize PDR at different receiver locations in the residential scenario through a heatmap.
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The Evaluate the Performance of Bluetooth QoS Traffic Scheduling with WLAN Signal Interference example shows how to evaluate the performance of the Bluetooth scheduler. You can simulate multiple applications with different quality-of-service (QoS) requirements (throughput and latency) in the presence of WLAN signal interference. You can also plug-in your own custom scheduler and analyze the throughput and latency performance.
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The protocol data unit (PDU) generation and decoding functions and objects enable you to generate and decode Bluetooth LE LL, the logical link control and adaptation protocol (L2CAP), the generic access profile (GAP), and the attribute protocol (ATT) layer PDUs. For examples showing how to generate and decode PDUs, see Generate and Decode Bluetooth Protocol Data Units, Bluetooth LE Link Layer Packet Generation and Decoding, and Bluetooth LE L2CAP Frame Generation and Decoding.
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To export Bluetooth LE LL packets to packet capture (PCAP) and packet capture next generation (PCAPNG) files, use the
blePCAPWriterobject.
For more information, see Multinode Communication.
C and C++ code generation support
Bluetooth Toolbox supports ANSI®/ISO® compliant C/C++ code generation. For an alphabetized list of features that support C/C++ code generation, see Bluetooth Toolbox – Functions and Objects Filtered by C/C++ Code Generation.
