Optimized beamforming for satellite communication
View Patent ↗A method for determining beamforming weights used onboard a satellite and ground-based beamforming weights used in a ground-based station as part of a satellite communication system. This beamforming method is a two-stage beamforming process that requires a reduced downlink bandwidth between the satellite and the ground-based station yet achieves optimal signal-to-noise ratio for bandwidth allocated for the downlink. values for the fixed onboard beamforming weights are computed to yield a maximum, max A ( min U S N | W = W ⋓ ) , where the maximum is computed over all possible fixed weights A represented by an L×M matrix, the minimum is computed over all possible positions of remote communication devices U, and the signal-to-noise ratio (S/N) is computed for the optimal set of ground-based beamforming weights W={hacek over (W)}.
1. A method for communication between a satellite and a remote communication device, comprising:
a. at the satellite:
i. receiving a signal transmitted from the remote communication device at M plurality of antenna elements of the satellite to produce M plurality of receive signals; and
ii. applying a set of fixed weights to the M plurality of receive signals to produce L plurality of weighted signals, where L is less than M;
iii. transmitting the L plurality of weighted signals on corresponding ones of L downlink channels to a ground-based station;
b. at the ground-based station:
i. receiving the L plurality of downlink channel signals;
ii. applying ground-based beamforming weights to the L plurality of downlink channel signals; and
iii. combining the L plurality of weighted downlink channel signals to produce a beamformed receive signal;
wherein for any position of the remote communication device with respect to the satellite the ground-based beamforming weights are set to values that maximize a signal-to-noise ratio of the beamformed receive signal, and the fixed weights are selected to maximize a minimum signal-to-noise ratio of the received beamformed signal with respect to position of a remote communication device.
2. The method of claim 1 , and further comprising computing values for said fixed weights using an algorithm for constrained multivariable optimization.
3. The method of claim 1 and further comprising computing values for the fixed weights that yield a maximum,
max
A
(
min
U
S
N
❘
W
=
W
˘
)
,
where the maximum is computed over all possible fixed weights A represented by an L×M matrix, the minimum is computed over all possible positions of remote communication devices U, and the signal-to-noise ratio is computed for the optimal set of ground-based beamforming weights W={hacek over (W)}.
4. The method of claim 1 , and further comprising selecting the number L of downlink channel to be used based on a tradeoff between the number of downlink channels and a bandwidth or signal-to-noise ratio required for the downlink channel signals.
5. A satellite communication system comprising:
a. a satellite comprising:
i. an antenna array having M plurality of antenna elements each of which detects a signal transmitted from each of a plurality of remote communication devices to thereby produce M plurality of receive signals for each signal transmitted from a remote communication device;
ii. a signal processor unit that applies a set of fixed beamforming weights to the M plurality of receive signals to produce L plurality of weighted signals, where L is less than M; and
iii. a transmitter that transmits the L plurality of weighted signals each on a corresponding downlink channel; and
b. a ground-based station comprising:
i. a receiver unit that receives the L plurality of downlink signals for each of the plurality remote communication devices; and
ii. a signal processor unit that applies position-dependent beamforming weights to the L plurality of downlink signals and combines the resulting weighted downlink signals to produce a beamformed receive signal corresponding to the signal transmitted to the satellite from each of the plurality of remote communication devices, wherein the position-dependent beamforming weights are set to values that maximize a signal-to-noise ratio of the beamformed receive signal for any position of a remote communication device with respect to the satellite;
c. and wherein the signal processor unit of the satellite applies fixed beamforming weights that maximize a minimum signal-to-noise ratio of the received beamformed signal with respect to position of a remote communication device.
6. The satellite communication system of claim 5 , wherein the signal processor unit of the satellite applies the fixed beamforming weights which are derived by computing a maximum,
max
A
(
min
U
S
N
❘
W
=
W
˘
)
,
where the maximum is computed over all possible fixed weights A represented by an L×M matrix, the minimum is computed over all possible positions of remote communication devices U, and the signal-to-noise ratio is computed for the optimal set of ground-based beamforming weights W={hacek over (W)}.
7. In a satellite communication system comprising a satellite and a ground-based station, wherein the ground-based station receives L downlink signals from the satellite and applies position dependent beamforming weights to the L downlink signals to produce a beamformed receive signal corresponding to a signal transmitted to the satellite from a remote communication device, the satellite comprising:
a. an antenna array having M plurality of antenna elements, and wherein each of the plurality of antenna elements detect detects a signal transmitted from each of a plurality of remote communication devices to thereby produce M plurality of receive signals for each signal received from a remote communication device;
b. a signal processing unit that applies a set of fixed beamforming weights to the M plurality of receive signals to produce L plurality of weighted signals associated with a signal received from each of the plurality of remote communication devices, where L is less than M; and
c. a transmitter that transmits the L plurality of weighted signals for each remote communication device each on a corresponding downlink channel to the ground-based station;
d. wherein the signal processor unit applies the fixed beamforming weights to the M plurality of receive signals so as to maximize a minimum signal-to-noise ratio of the beamformed receive signal with respect to a position of a remote communication device.
8. The satellite of claim 7 , wherein the signal processing unit of the satellite applies the fixed beamforming weights which are derived by computing a maximum,
max
A
(
min
U
S
N
❘
W
=
W
˘
)
,
where the maximum is computed over all possible fixed weights A represented by an L×M matrix, the minimum is computed over all possible positions of remote communication devices U, and the signal-to-noise ratio is computed for the optimal set of ground-based beamforming weights W={hacek over (W)}.
9. In a satellite communication system comprising a satellite and a ground-based station, wherein the satellite has an antenna array of M antenna elements that detects a signal transmitted from a remote communication device to produce M plurality of receive signals and applies fixed beamforming weights to the M plurality of receive signals to produce L plurality of weighted signals that are sent as L plurality of downlink signals to the ground-base station, where L is less than M, and wherein the ground-based station comprises:
a. a receiver unit that receives the L plurality of downlink signals; and
b. a signal processor unit that applies position-dependent beamforming weights to the L plurality of downlink signals associated with a signal received at the satellite from each of the plurality of remote communication devices, wherein the signal processing unit combines the weighted downlink signals to produce a beamformed receive signal for each of the plurality of remote communication devices, wherein the position-dependent beamforming weights are set to values that maximize a signal-to-noise ratio of the beamformed receive signal for any position of a remote communication device with respect to the satellite.