Body coupled communiication system
US-2015372770-A1 · Dec 24, 2015 · US
US9692526B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9692526-B2 |
| Application number | US-201415021737-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 10, 2014 |
| Priority date | Sep 20, 2013 |
| Publication date | Jun 27, 2017 |
| Grant date | Jun 27, 2017 |
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Based on new insights in body coupled communication systems, herein a design tool for designing a body coupled communication apparatus, and products for use in body coupled communication systems are provided herein.
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The invention claimed is: 1. A computer-implemented design tool for designing a body coupled communication apparatus, comprising: a transmitter to generate a transmission signal and coupled to a pair of mutually opposed transmitter plates to transmit the signal via a human body; a receiver coupled to a pair of mutually opposed receiver plates to receive the transmission signal via said human body; a data input to receive parameter values for a set of parameters of a first type and parameter values for a set of parameters of a second type; a data output; and a computation engine to calculate output data and to provide the output data indicative for a predicted performance to the data output, wherein the set of parameters of a first type specify a propagation environment for the signal to be transmitted from the transmitter to the receiver, including at least one of a distance between the human body and the transmitter plates, a distance between the human body and the receiver plates, and signal transmission properties of the human body, wherein the set of parameters of a second type includes at least one design choice relating to one or more of a transmit voltage, a receiver sensitivity, dimensions of the transmission plates, a first area (A 1 ) of the transmission plates and their mutual distance (D 1 ), sizes of the receiver plates, a second area (A 2 ) of the receiver plates and their mutual distance (D 2 ), and wherein the output data indicative for a predicted performance includes at least one of an expected attenuation of the transmission signal, a path loss, a link budget and a bit error rate, wherein the computation engine comprises a first computation unit to determine a capacitive transfer model from the transmitter via the human body to the receiver, and a second computation unit to predict the performance using the capacitive transfer model, wherein the at least one design choice specifies that a ratio (A 1 *D 2 )/(A 2 *D 1 ) is at least 2. 2. The computer-implemented design tool according to claim 1 , wherein the first computation unit determines the capacitive transfer model as a first and a second capacitance specifying a respective capacitive coupling between a first and a second one of the mutually opposed transmitter plates and the human body and further defining a third and a fourth capacitance specifying a respective capacitive coupling between the first and second one of the mutually opposed transmitter plates and ground, a fifth capacitance specifying a capacitive coupling between the human body and ground, a sixth and a seventh capacitance specifying a respective capacitive coupling between a first and a second one of the mutually opposed receiver plates and the human body, and an eight and a ninth capacitance specifying a respective capacitive coupling between the first and second one of the mutually opposed receiver plates and ground, and further a tenth capacitance specifying a mutual capacitive coupling between the mutually opposed receiver plates. 3. The computer-implemented design tool according to claim 2 , wherein capacitances between capacitively coupled elements are approximated by C i = C i * + C 0 = πε 0 a 2 d + ε 0 α a wherein the first term (C* i ) is a short-range contribution and the second term (C o ) is a long-range contribution, ε 0 is the electrical permittivity (8.85×10 −12 F/m), wherein a and d respectively are a representative dimension of the capacitively coupled elements and a representative distance between the capacitively elements, and wherein a is a form factor in the range of 3 to 4. 4. The design tool according to claim 1 , wherein the first computation unit includes a finite element computation module to generate a capacitance matrix approximating the capacitive transfer path from the transmitter via the human body to the receiver. 5. The design tool according to claim 4 , wherein the second computation unit includes a conversion module and a Wheatstone computation module, wherein the conversion module converts the capacitance matrix obtained from the finite element computation module into an approximate circuit model approximating the capacitive transfer path from the transmitter via the human body to the receiver by a first and a second capacitive Wheatstone bridge, wherein the first capacitive Wheatstone bridge includes a first and a second capacitance specifying the respective capacitive coupling between the first and a second one of the mutually opposed transmitter plates and the human body and a third and a fourth capacitance specifying the respective capacitive coupling between the first and the second one of the mutually opposed transmitter plates and ground, and wherein the second capacitive Wheatstone bridge includes a sixth and a seventh capacitance specifying the respective capacitive coupling between the first and the second one of the mutually opposed receiver plates and the human body, and an eight and a ninth capacitance specifying the respective capacitive coupling between the first and the second one of the mutually opposed receiver plates and ground, the approximation further including the fifth capacitance specifying the capacitive coupling between the human body and ground, as well as a tenth capacitance specifying a mutual capacitive coupling between the mutually opposed receiver plates (Rx 1 , Rx 2 ), and wherein the second computation unit includes the Wheatstone computation module to predict the performance on the basis of the approximate circuit model. 6. The design tool according to claim 1 , wherein the second computation unit includes a matrix inversion module to invert a capacitance matrix representative for the capacitive transfer model and to predict the performance using the inverted capacitance matrix. 7. The design tool according to claim 1 , wherein the second computation unit comprises a Wheatstone computation module to predict the performance on the basis of the approximation of the capacitive transfer path from the transmitter via the human body to the receiver by a first and a second capacitive Wheatstone bridge, wherein the first capacitive Wheatstone bridge includes the first and the second capacitance specifying the respective capacitive coupling between the first and a second one of the mutually opposed transmitter plates and the human body and the third and the fourth capacitance specifying the respective capacitive coupling between the first and the second one of the mutually opposed transmitter plates and ground, and wherein the second capacitive Wheatstone bridge includes the sixth and the seventh capacitance specifying the respective ca
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