Radar system and method for reducing clutter in a high-clutter environment
A radar system transmits an environment-sensing pulse and processing circuitry time-reverses an order of radar return samples and generates a convolution matrix from the radar return samples resulting from a transmission of the environment-sensing pulse. The processing circuitry may also generate a plurality of return energy-ranked vectors from a decomposition of the convolution matrix. The processing circuitry may select one of the return energy-ranked vectors for generation of a clutter-orthogonal transmit waveform. In some embodiments, the processing circuitry may select a clutter-orthogonal vector from the plurality of return energy-ranked vectors and may quantize the clutter-orthogonal vector for application to the phase modulator for generation of the clutter-orthogonal transmit waveform. The radar system may perform multiple correlations on sampled radar returns from the clutter orthogonal transmit waveform using a family of pseudo-orthogonal waveforms to detect a slow-moving target.
1. Signal processing circuitry for use in a radar system comprising:
a matrix-generating element to time-reverse an order of radar return samples and to the generate a convolution matrix from the radar return samples, the radar return samples resulting from a transmission of an environment-sensing pulse; and
a matrix-processing element to generate a plurality of return energy-ranked vectors from the convolution matrix,
wherein one of the return energy-ranked vectors is selected for generation of a clutter-orthogonal transmit waveform.
2. The signal processing circuitry of claim 1 further comprising a correlator to perform multiple correlations on radar returns from the clutter orthogonal transmit waveform using a family of waveforms.
3. The signal processing circuitry of claim 2 wherein the family of waveforms comprises at least some vectors from a decomposition matrix generated from the convolution matrix.
4. The signal processing circuitry of claim 2 wherein the family of waveforms comprise a family of pseudo-orthogonal waveforms.
5. The signal processing circuitry of claim 1 further comprising:
a waveform-selection element to select a clutter-orthogonal vector from the plurality of return energy-ranked vectors; and
a quantization element to quantize the clutter-orthogonal vector for application to a phase modulator for generation of the clutter-orthogonal transmit waveform.
6. The signal processing circuitry of claim 5 wherein the quantization element quantizes the clutter-orthogonal vector by:
setting amplitude components of the clutter-orthogonal vector to a constant-amplitude level; and
truncating phase components of the clutter-orthogonal vector based on a resolution of a phase-modulator.
7. The signal processing circuitry of claim 6 wherein when the phase-modulator comprises a bi-phase modulator, the quantization element generates two phase components from the clutter-orthogonal vector, and
wherein when the phase modulator comprises a polyphase modulator, the quantization element generate a plurality of phase components based on a resolution of the polyphase modulator.
8. The signal processing circuitry of claim 5 wherein the matrix-processing element performs a decomposition on the convolution matrix to generate one or more decomposition matrices, and
wherein the waveform-selection element selects the clutter-orthogonal vector from one of the decomposition matrices, the selected vector having a lowest return energy level.
9. The signal processing circuitry of claim 8 wherein the one or more of the decomposition matrices comprise a singular-value diagonal matrix, an output singular vector matrix, and an input singular vector matrix, and
wherein the waveform-selection element selects a vector as the clutter-orthogonal vector from the input singular vector matrix, the selected vector being associated with a lowest return energy level.
10. The signal processing circuitry of claim 5 wherein the matrix-generating element, the matrix-processing element, the waveform-selection element and the quantization element comprise one or more processing elements.
11. The signal processing circuitry of claim 1 wherein the time-reversal performed by the matrix-generating element reverses the order of the radar return samples, and
wherein the matrix-generating element generates a convolution matrix of the radar return samples.
12. The signal processing circuitry of claim 1 wherein the radar system comprises sampling circuitry to sample the radar returns from the transmission of the environment-sensing pulse and generate the radar return samples, and
wherein the sampling circuitry is to sample the radar returns at time-intervals corresponding to a pulse-width of the environment-sensing pulse.
13. A method of reducing effects of clutter comprising:
time-reversing an order of radar return samples;
generating a convolution matrix from the radar return samples, the radar return samples resulting from a transmission of an environment-sensing pulse;
generating a plurality of return energy-ranked vectors from the convolution matrix; and
selecting one of the return energy-ranked vectors for generation of a clutter-orthogonal transmit waveform.
14. The method of claim 13 further comprising performing multiple correlations on sampled radar returns from the clutter orthogonal transmit waveform using a family of waveforms.
15. The method of claim 14 wherein the family of waveforms comprises at least some vectors selected from a decomposition matrix generated from the convolution matrix.
16. The method of claim 14 wherein the family of waveforms comprise a family of pseudo-orthogonal waveforms.
17. The method of claim 13 wherein selecting comprises selecting a clutter-orthogonal vector from the plurality of return energy-ranked vectors, and
wherein the method further comprises quantizing the clutter-orthogonal vector for application to a phase modulator for generation of the clutter-orthogonal transmit waveform.
18. The method of claim 17 quantizing comprises quantizing the clutter-orthogonal vector by:
setting amplitude components of the clutter-orthogonal vector to a constant-amplitude level; and
truncating phase components of the clutter-orthogonal vector based on a resolution of a phase-modulator.
19. The method of claim 18 wherein quantizing comprises one of either:
generating two phase components from the clutter-orthogonal vector for application to a bi-phase modulator; and
generating a plurality of phase components for application to a polyphase modulator based on a resolution of the polyphase modulator.
20. The method of claim 17 wherein generating the plurality of return energy-ranked vectors comprises performing a decomposition on the convolution matrix to generate one or more decomposition matrices, and
wherein selecting comprises selecting the clutter-orthogonal vector from one of the decomposition matrices, the selected vector having a lowest return energy level.
21. The method of claim 20 wherein the one or more of the decomposition matrices comprise a singular-value diagonal matrix, an output singular vector matrix, and an input singular vector matrix, and
wherein selecting comprises selecting a vector as the clutter-orthogonal vector from the input singular vector matrix, the selected vector being associated with a lowest return energy level.
22. The method of claim 17 wherein the time-reversing, the generating the convolutional matrix, the generating the plurality of return energy-ranked vectors, the selecting and the quantizing are performed by instructions operating on one or more processing elements.
23. The method of claim 13 wherein the time-reversing reverses the order of the radar return samples, and
wherein generating the convolution matrix comprises generating a convolution matrix of the radar return samples.
24. The method of claim 13 further comprising:
sampling the radar returns resulting from a transmission of an environment-sensing pulse; and
generating the radar return samples,
wherein the sampling samples the radar returns at time-intervals corresponding to a pulse-width of the pulse.
25. A radar system comprising:
transmitter circuitry to transmit an environment-sensing pulse; and
processing circuitry to time-reverse an order of radar return samples, to the generate a convolution matrix from the radar return samples resulting from the transmission of the environment-sensing pulse, and to generate a plurality of return energy-ranked vectors from the convolution matrix,
wherein one of the return energy-ranked vectors is selected for generation of a clutter-orthogonal transmit waveform.
26. The system of claim 25 further comprising:
a phase modulator; and
sampling circuitry,
wherein the processing circuitry is to further perform multiple correlations on sampled radar returns from the clutter orthogonal transmit waveform using a family of waveforms, is to select a clutter-orthogonal vector from the plurality of return energy-ranked vectors, and is to quantize the clutter-orthogonal vector for application to the phase modulator for generation of a clutter-orthogonal transmit waveform.
27. The system of claim 26 wherein the time-reversal performed by the processing circuitry reverses the order of the radar return samples,
wherein the sampling circuitry is to sample the radar returns from the transmission of the environment-sensing pulse and generate the radar return samples and is to sample the radar returns at time-intervals corresponding to a pulse-width of the environment-sensing pulse.
28. The system of claim 26 wherein the processing circuitry is to perform a decomposition on the convolution matrix to generate one or more decomposition matrices, and is to select the clutter-orthogonal vector from one of the decomposition matrices, the selected vector having a lowest return energy level.
29. The system of claim 28 wherein the one or more of the decomposition matrices comprise a singular-value diagonal matrix, an output singular vector matrix, and an input singular vector matrix, and
wherein the processing circuitry is to select a vector as the clutter-orthogonal vector from the input singular vector matrix, the selected vector being associated with a lowest return energy level.
30. A machine-accessible medium that provides instructions, which when accessed, cause a machine to perform operations comprising:
time-reversing an order of radar return samples;
generating a convolution matrix from the radar return samples, the radar return samples resulting from a transmission of an environment-sensing pulse;
generating a plurality of return energy-ranked vectors from the convolution matrix; and
selecting one of the return energy-ranked vectors for generation of a clutter-orthogonal transmit waveform.
31. The machine-accessible medium of claim 30 wherein the instructions, when further accessed cause the machine to perform operations further comprising performing multiple correlations on sampled radar returns from the clutter orthogonal transmit waveform using a family of waveforms,
wherein selecting comprises selecting a clutter-orthogonal vector from the plurality of return energy-ranked vectors, and
wherein the operations further comprise quantizing the clutter-orthogonal vector for application to a phase modulator for generation of the clutter-orthogonal transmit waveform, and
wherein the time-reversing reverses the order of the radar return samples.
32. The machine-accessible medium of claim 31 wherein the instructions, when further accessed cause the machine to perform operations wherein generating the plurality of return energy-ranked vectors comprises performing a decomposition on the convolution matrix to generate one or more decomposition matrices, and
wherein selecting comprises selecting the clutter-orthogonal vector from one of the decomposition matrices, the selected vector having a lowest return energy level.
33. The machine-accessible medium of claim 32 wherein the instructions, when further accessed cause the machine to perform operations wherein the one or more of the decomposition matrices comprise a singular-value diagonal matrix, an output singular vector matrix, and an input singular vector matrix, and
wherein selecting comprises selecting a vector as the clutter-orthogonal vector from the input singular vector matrix, the selected vector being associated with a lowest return energy level.